YannAhlgrim
17315 lines
1.7 MiB
Plaintext
17315 lines
1.7 MiB
Plaintext
{
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"cells": [
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"cell_type": "markdown",
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"id": "7ba05a39",
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"metadata": {},
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"source": [
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"# Simulationsstudie: Diebstahlerkennung eines Autos in Echtzeit\n",
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"\n",
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"**Name:** Yann Ahlgrim \n",
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"\n",
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"In dieser Simulationsstudie wird ein Modell entwickelt, das anhand von Fahrverhaltensdaten erkennt, ob ein anderer Fahrer als üblich am Steuer sitzt. Ziel ist es, eine Wahrscheinlichkeit für einen Fahrerwechsel zu schätzen und bei hoher Wahrscheinlichkeit eine Diebstahlwarnung auszugeben. Die Studie umfasst die Generierung einer synthetischen Grundgesamtheit, die Simulation der Data Scientist Perspektive und die Analyse der Modellgüte."
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]
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},
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{
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"cell_type": "markdown",
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"id": "f04292ef",
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"metadata": {},
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"source": [
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"## Erzeugung der Grundgesamtheit"
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]
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},
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{
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"cell_type": "markdown",
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"id": "a5fe9381",
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"metadata": {},
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"source": [
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"### Datengrundlage\n",
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"\n",
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"#### Erklärende Variablen:\n",
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"\n",
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"1. **Durchschnittsgeschwindigkeit (metrisch):** \n",
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" Die Werte verteilen sich natürlicherweise ungefähr normal um ca. 47 km/h (29 mph) mit großer Streuung. Aggressive Fahrer tendieren zu höheren Durchschnittsgeschwindigkeiten. Diese Variable ist erklärend, da ein anderer Fahrer oft abweichende Geschwindigkeitsprofile aufweist. \n",
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" → Die Verteilung basiert auf: [NHTSA 100-Car Naturalistic Driving Study](https://www.nhtsa.gov/sites/nhtsa.gov/files/100carmain.pdf)\n",
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"\n",
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"2. **Schaltverhalten (ordinal):** \n",
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" Charakteristisches Schaltmuster bei Handschaltgetrieben, insbesondere der Drehzahlbereich beim Hochschalten. Fahrer unterscheiden sich deutlich: \n",
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" - *frueh* (ökonomisches Fahren), \n",
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" - *normal*, \n",
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" - *spaet* (sportliches/aggressives Fahren). \n",
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" Diese Variable dürfte prädiktiv sein, da Schaltgewohnheiten fahrerspezifisch sind. Studien zeigen, dass sie zur Fahreridentifikation genutzt werden können. \n",
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" → Quelle: [Driver Identification Based on Gear Shift Events and Attention-Based Bidirectional Long Short-Term Memory for Manual Transmission System)](https://ieeexplore.ieee.org/document/10034086)\n",
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"\n",
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"3. **Harte Bremsmanöver (metrisch):** \n",
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" Anzahl starker Bremsvorgänge mit hoher Verzögerung (>0,3 g). Modellierung z.B. als Poisson-verteilte Zufallsvariable mit geringem Mittelwert (wenige Ereignisse pro 100 km). Harte Bremsmanöver korrelieren mit aggressiver Fahrweise und sind prädiktiv für Fahrerwechsel. \n",
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" → Quelle: [Tesla Safety Score Definition](https://www.findmyelectric.com/blog/tesla-safety-score-beta-explained)\n",
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"\n",
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"4. **Geschwindigkeitsüberschreitungen (ordinal, 3 Kategorien):** \n",
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" haeufigkeit bzw. Ausmaß, mit dem Tempolimits überschritten werden. Kategorisierung z.B. in: \n",
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" - *selten*, \n",
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" - *manchmal*, \n",
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" - *haeufig* zu schnell. \n",
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" Diese Variable ist prädiktiv, da ein fremder Fahrer oft ein anderes Risikoverhalten beim Speeding zeigt.\n",
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" Laut einer AAA-Verkehrssicherheitsstudie geben nahezu 50 % der Fahrer an, auf Autobahnen im letzten Monat ~15 mph (~24 km/h) über dem Tempolimit gefahren zu sein.\n",
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" → Quelle: [87 Percent of Drivers Engage in Unsafe Behaviors While Behind the Wheel](https://newsroom.aaa.com/2016/02/87-percent-of-drivers-engage-in-unsafe-behaviors-while-behind-the-wheel/)\n",
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"\n",
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"---\n",
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"\n",
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"#### Nicht erklärende Variablen:\n",
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"\n",
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"\n",
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"5. **Wetterbedingungen (nominal, 3 Kategorien):** \n",
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" - *trocken* (~70–75 %) \n",
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" - *nass* (~20–25 %) \n",
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" - *winterlich* (<5 %) \n",
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" → Modelliert als Multinomial. Kontextvariable. \n",
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" Die Einteilung basiert auf Daten des Statistischen Bundesamtes: Etwa 70–75 % aller Fahrten finden unter trockenen Bedingungen statt, 20–25 % bei Nässe und unter 5 % bei Schnee oder Glätte.\n",
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"\n",
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"6. **Fahrstrecke (metrisch):** \n",
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" Länge der Fahrt (z.B. lognormalverteilt um 12 km). Kontextvariable, nicht direkt erklärend. \n",
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" → Quelle: [Mobilität in Deutschland 2017 – Ergebnisbericht](https://www.bmv.de/SharedDocs/DE/Anlage/G/mid-ergebnisbericht.pdf)\n",
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"\n",
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" \n",
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"7. **Straßentyp (nominal, 3 Kategorien):** \n",
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" - *Autobahn* (~30–33 %) \n",
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" - *Außerorts* (~43 %) \n",
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" - *Innerorts* (~24–27 %) \n",
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" → Modelliert als Multinomialverteilung. Kontextvariable ohne direkte Prädiktionswirkung. \n",
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" → Quelle: [Klimaschutzinstrumente im Verkehr](https://openumwelt.de/server/api/core/bitstreams/07bd23f9-ff0a-41e5-b89b-8d7baf0a5c36/content)\n",
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"\n",
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"8. **Wochentag (nominal, 2–3 Kategorien):** \n",
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" Z.B. *Werktag* vs *Wochenende* oder *Mo–Fr*, *Sa*, *So*. Modellierung als kategorische Variable. Kontextvariable. \n",
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" → Quelle: [Mobilität in Deutschland 2017 – Ergebnisbericht](https://www.bmv.de/SharedDocs/DE/Anlage/G/mid-ergebnisbericht.pdf)\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "1468207b",
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"metadata": {},
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"source": [
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"### Bibliotheken Imports"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "97ba29a9",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Import der benötigten Bibliotheken\n",
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"import numpy as np\n",
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"import pandas as pd\n",
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"import matplotlib.pyplot as plt\n",
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"import seaborn as sns\n",
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"from scipy.stats import norm, multinomial, poisson, lognorm, bernoulli\n",
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"import statsmodels.api as sm\n",
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"from statsmodels.stats.outliers_influence import variance_inflation_factor\n",
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"\n",
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"np.random.seed(11)\n",
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"N = 1_000_000"
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]
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},
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{
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"cell_type": "markdown",
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"id": "27947656",
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"metadata": {},
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"source": [
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"### Verteilungen der Variablen"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "61247da5",
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"metadata": {},
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"outputs": [],
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"source": [
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"# 1. Durchschnittsgeschwindigkeit (metrisch, normalverteilt)\n",
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"avg_speed = np.clip(np.random.normal(loc=47, scale=10, size=N), 10, 130)\n",
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"\n",
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"# 2. Schaltverhalten (ordinal, 3 Kategorien)\n",
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"shift_behavior = np.random.choice(['frueh', 'normal', 'spaet'], size=N, p=[0.4, 0.4, 0.2])\n",
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"\n",
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"# 3. Harte Bremsmanöver (metrisch, Poisson)\n",
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"hard_brakes = np.random.poisson(lam=2, size=N)\n",
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"\n",
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"# 4. Geschwindigkeitsüberschreitungen (ordinal, 3 Kategorien) – Abhängigkeit von avg_speed\n",
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"def softmax(x):\n",
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" e_x = np.exp(x - np.max(x, axis=1, keepdims=True))\n",
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" return e_x / e_x.sum(axis=1, keepdims=True)\n",
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"\n",
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"speed_scaled = (avg_speed - avg_speed.min()) / (avg_speed.max() - avg_speed.min())\n",
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"strength = 0.18\n",
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"logits = np.zeros((N, 3))\n",
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"logits[:, 0] = 1 - strength * speed_scaled # selten\n",
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"logits[:, 1] = 1 # manchmal\n",
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"logits[:, 2] = 1 + strength * speed_scaled # haeufig\n",
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"probs = softmax(logits)\n",
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"speeding = [np.random.choice(['selten', 'manchmal', 'haeufig'], p=p) for p in probs]\n",
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"\n",
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"# 5. Wetterbedingungen (nominal, Kontext)\n",
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"weather = np.random.choice(['trocken', 'nass', 'winterlich'], size=N, p=[0.75, 0.2, 0.05])\n",
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"\n",
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"# 6. Fahrstrecke (metrisch, lognormal)\n",
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"mu, sigma = np.log(12), 0.7\n",
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"trip_distance = np.random.lognormal(mean=mu, sigma=sigma, size=N)\n",
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"\n",
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"# 7. Straßentyp (nominal, Kontext) – Abhängigkeit von trip_distance mit Softmax-Funktion\n",
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"# Skaliere trip_distance auf [0, 1]\n",
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"dist_scaled = (trip_distance - trip_distance.min()) / (trip_distance.max() - trip_distance.min())\n",
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"road_strength = 0.18\n",
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"road_logits = np.zeros((N, 3))\n",
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"road_logits[:, 0] = 1 - road_strength * dist_scaled # Innerorts\n",
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"road_logits[:, 1] = 1 # Außerorts\n",
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"road_logits[:, 2] = 1 + road_strength * dist_scaled # Autobahn\n",
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"road_probs = softmax(road_logits)\n",
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"road_type = [np.random.choice(['Innerorts', 'Außerorts', 'Autobahn'], p=p) for p in road_probs]\n",
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"\n",
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"# 8. Wochentag (nominal, Kontext)\n",
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"weekday = np.random.choice(['Mo-Fr', 'Sa', 'So'], size=N, p=[0.7, 0.15, 0.15])"
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]
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},
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{
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"cell_type": "markdown",
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"id": "defebcc1",
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"metadata": {},
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"source": [
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"### Zusammenführen der Daten in ein DataFrame"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "f8e0efb0",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>avg_speed</th>\n",
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" <th>shift_behavior</th>\n",
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" <th>hard_brakes</th>\n",
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" <th>speeding</th>\n",
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" <th>weather</th>\n",
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" <th>trip_distance</th>\n",
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" <th>road_type</th>\n",
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" <th>weekday</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>64.494547</td>\n",
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" <td>frueh</td>\n",
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" <td>2</td>\n",
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" <td>manchmal</td>\n",
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" <td>trocken</td>\n",
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" <td>30.449962</td>\n",
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" <td>Innerorts</td>\n",
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" <td>Mo-Fr</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>44.139270</td>\n",
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" <td>frueh</td>\n",
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" <td>3</td>\n",
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" <td>haeufig</td>\n",
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" <td>trocken</td>\n",
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" <td>11.911103</td>\n",
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" <td>Autobahn</td>\n",
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" <td>Mo-Fr</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>42.154349</td>\n",
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" <td>spaet</td>\n",
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" <td>2</td>\n",
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" <td>selten</td>\n",
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" <td>trocken</td>\n",
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" <td>6.086055</td>\n",
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" <td>Autobahn</td>\n",
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" <td>Mo-Fr</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>20.466814</td>\n",
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" <td>normal</td>\n",
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" <td>5</td>\n",
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" <td>haeufig</td>\n",
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" <td>trocken</td>\n",
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" <td>5.732684</td>\n",
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" <td>Innerorts</td>\n",
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" <td>Mo-Fr</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>46.917154</td>\n",
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" <td>spaet</td>\n",
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" <td>2</td>\n",
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" <td>selten</td>\n",
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" <td>trocken</td>\n",
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" <td>7.256758</td>\n",
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" <td>Außerorts</td>\n",
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" <td>Mo-Fr</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" avg_speed shift_behavior hard_brakes speeding weather trip_distance \\\n",
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"0 64.494547 frueh 2 manchmal trocken 30.449962 \n",
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"1 44.139270 frueh 3 haeufig trocken 11.911103 \n",
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"2 42.154349 spaet 2 selten trocken 6.086055 \n",
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"3 20.466814 normal 5 haeufig trocken 5.732684 \n",
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"4 46.917154 spaet 2 selten trocken 7.256758 \n",
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"\n",
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" road_type weekday \n",
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"0 Innerorts Mo-Fr \n",
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"1 Autobahn Mo-Fr \n",
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"2 Autobahn Mo-Fr \n",
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"3 Innerorts Mo-Fr \n",
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"4 Außerorts Mo-Fr "
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df = pd.DataFrame({\n",
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" 'avg_speed': avg_speed,\n",
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" 'shift_behavior': shift_behavior,\n",
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" 'hard_brakes': hard_brakes,\n",
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" 'speeding': speeding,\n",
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" 'weather': weather,\n",
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" 'trip_distance': trip_distance,\n",
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" 'road_type': road_type,\n",
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" 'weekday': weekday\n",
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"})\n",
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"\n",
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"df.head()\n"
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]
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||
},
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||
{
|
||
"cell_type": "markdown",
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||
"id": "f06e7c4d",
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||
"metadata": {},
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"source": [
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"### VIF der Abhängigkeiten prüfen"
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]
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},
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{
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||
"cell_type": "code",
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||
"execution_count": 4,
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||
"id": "6bfb199a",
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||
"metadata": {},
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||
"outputs": [
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||
{
|
||
"name": "stdout",
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||
"output_type": "stream",
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||
"text": [
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||
"\n",
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||
"Variance Inflation Factor (VIF) für ausgewählte Variabeln:\n",
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" features VIF Factor\n",
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"0 avg_speed 2.570716\n",
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"1 speeding_manchmal 1.819868\n",
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"2 speeding_selten 1.750848\n"
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||
]
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||
}
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||
],
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||
"source": [
|
||
"vif = pd.DataFrame()\n",
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||
"columns = ['avg_speed', 'speeding']\n",
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"vif_df = pd.get_dummies(df[columns], drop_first=True)\n",
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||
"vif_df = vif_df.astype(float)\n",
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||
"vif['features'] = vif_df.columns\n",
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||
"vif['VIF Factor'] = [variance_inflation_factor(vif_df.values, i) for i in range(vif_df.shape[1])]\n",
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"vif = vif.sort_values('VIF Factor', ascending=False).reset_index(drop=True)\n",
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"print(\"\\nVariance Inflation Factor (VIF) für ausgewählte Variabeln:\")\n",
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||
"print(vif)"
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||
]
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||
},
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||
{
|
||
"cell_type": "code",
|
||
"execution_count": 5,
|
||
"id": "1d3df64a",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
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||
"text": [
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||
"\n",
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||
"Variance Inflation Factor (VIF) für ausgewählte Variabeln:\n",
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||
" features VIF Factor\n",
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||
"0 trip_distance 1.677148\n",
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||
"1 road_type_Außerorts 1.342378\n",
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||
"2 road_type_Innerorts 1.334770\n"
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||
]
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||
}
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||
],
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||
"source": [
|
||
"vif = pd.DataFrame()\n",
|
||
"columns = ['road_type', 'trip_distance']\n",
|
||
"vif_df = pd.get_dummies(df[columns], drop_first=True)\n",
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||
"vif_df = vif_df.astype(float)\n",
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||
"vif['features'] = vif_df.columns\n",
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||
"vif['VIF Factor'] = [variance_inflation_factor(vif_df.values, i) for i in range(vif_df.shape[1])]\n",
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"vif = vif.sort_values('VIF Factor', ascending=False).reset_index(drop=True)\n",
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"print(\"\\nVariance Inflation Factor (VIF) für ausgewählte Variabeln:\")\n",
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||
"print(vif)"
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||
]
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||
},
|
||
{
|
||
"cell_type": "code",
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||
"execution_count": 6,
|
||
"id": "49045ee5",
|
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"metadata": {},
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{
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||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe tbody tr th {\n",
|
||
" vertical-align: top;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe thead th {\n",
|
||
" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>avg_speed</th>\n",
|
||
" <th>shift_behavior</th>\n",
|
||
" <th>hard_brakes</th>\n",
|
||
" <th>speeding</th>\n",
|
||
" <th>weather</th>\n",
|
||
" <th>trip_distance</th>\n",
|
||
" <th>road_type</th>\n",
|
||
" <th>weekday</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>64.494547</td>\n",
|
||
" <td>frueh</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>manchmal</td>\n",
|
||
" <td>trocken</td>\n",
|
||
" <td>30.449962</td>\n",
|
||
" <td>Innerorts</td>\n",
|
||
" <td>Mo-Fr</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>44.139270</td>\n",
|
||
" <td>frueh</td>\n",
|
||
" <td>3</td>\n",
|
||
" <td>haeufig</td>\n",
|
||
" <td>trocken</td>\n",
|
||
" <td>11.911103</td>\n",
|
||
" <td>Autobahn</td>\n",
|
||
" <td>Mo-Fr</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>42.154349</td>\n",
|
||
" <td>spaet</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>selten</td>\n",
|
||
" <td>trocken</td>\n",
|
||
" <td>6.086055</td>\n",
|
||
" <td>Autobahn</td>\n",
|
||
" <td>Mo-Fr</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>20.466814</td>\n",
|
||
" <td>normal</td>\n",
|
||
" <td>5</td>\n",
|
||
" <td>haeufig</td>\n",
|
||
" <td>trocken</td>\n",
|
||
" <td>5.732684</td>\n",
|
||
" <td>Innerorts</td>\n",
|
||
" <td>Mo-Fr</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>46.917154</td>\n",
|
||
" <td>spaet</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>selten</td>\n",
|
||
" <td>trocken</td>\n",
|
||
" <td>7.256758</td>\n",
|
||
" <td>Außerorts</td>\n",
|
||
" <td>Mo-Fr</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" avg_speed shift_behavior hard_brakes speeding weather trip_distance \\\n",
|
||
"0 64.494547 frueh 2 manchmal trocken 30.449962 \n",
|
||
"1 44.139270 frueh 3 haeufig trocken 11.911103 \n",
|
||
"2 42.154349 spaet 2 selten trocken 6.086055 \n",
|
||
"3 20.466814 normal 5 haeufig trocken 5.732684 \n",
|
||
"4 46.917154 spaet 2 selten trocken 7.256758 \n",
|
||
"\n",
|
||
" road_type weekday \n",
|
||
"0 Innerorts Mo-Fr \n",
|
||
"1 Autobahn Mo-Fr \n",
|
||
"2 Autobahn Mo-Fr \n",
|
||
"3 Innerorts Mo-Fr \n",
|
||
"4 Außerorts Mo-Fr "
|
||
]
|
||
},
|
||
"execution_count": 6,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.head()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "1f6ee727",
|
||
"metadata": {},
|
||
"source": [
|
||
"### Zielvariable erzeugen"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 7,
|
||
"id": "75318d77",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"C:\\Users\\yann\\AppData\\Local\\Temp\\ipykernel_15840\\2403674952.py:43: FutureWarning: \n",
|
||
"\n",
|
||
"Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
|
||
"\n",
|
||
" sns.countplot(x=target, palette='viridis')\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
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",
|
||
"text/plain": [
|
||
"<Figure size 1000x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"shift_dummies = pd.get_dummies(shift_behavior, prefix='shift')\n",
|
||
"speeding_dummies = pd.get_dummies(speeding, prefix='speeding')\n",
|
||
"weather_dummies = pd.get_dummies(weather, prefix='weather')\n",
|
||
"road_dummies = pd.get_dummies(road_type, prefix='road')\n",
|
||
"weekday_dummies = pd.get_dummies(weekday, prefix='weekday')\n",
|
||
"\n",
|
||
"X = pd.DataFrame({\n",
|
||
" 'avg_speed': avg_speed,\n",
|
||
" 'hard_brakes': hard_brakes,\n",
|
||
" 'trip_distance': trip_distance\n",
|
||
"})\n",
|
||
"X = pd.concat([X, shift_dummies, speeding_dummies, weather_dummies, road_dummies, weekday_dummies], axis=1)\n",
|
||
"\n",
|
||
"# Betas reduziert, damit die Zielvariable nicht zu häufig 1 ist\n",
|
||
"betas = np.array([\n",
|
||
" 0.015, # avg_speed\n",
|
||
" 0.1, # hard_brakes\n",
|
||
" 0., # trip_distance\n",
|
||
" 0.05, 0.075, # shift_dummies\n",
|
||
" 0.05, 0.075, # speeding_dummies\n",
|
||
" 0., 0., # weather_dummies\n",
|
||
" 0., 0., # road_dummies\n",
|
||
" 0., 0. # weekday_dummies\n",
|
||
"])\n",
|
||
"\n",
|
||
"# Sicherstellen, dass die Dimension passt\n",
|
||
"X_model = X.iloc[:, :len(betas)]\n",
|
||
"\n",
|
||
"X_model = X_model.astype(float)\n",
|
||
"rauschen = np.random.normal(0, 0.2, size=N)\n",
|
||
"\n",
|
||
"# Linearkombination + Rauschen + Offset (damit die Zielvariable nicht zu häufig 1 ist)\n",
|
||
"lin_comb = X_model.values @ betas + rauschen - 2\n",
|
||
"\n",
|
||
"# Logistische Funktion → Wahrscheinlichkeiten\n",
|
||
"pi = 1 / (1 + np.exp(-lin_comb))\n",
|
||
"\n",
|
||
"# Zielvariable simulieren\n",
|
||
"target = np.random.binomial(1, pi)\n",
|
||
"\n",
|
||
"# Visualisierung der Verteilung der Zielvariable\n",
|
||
"plt.figure(figsize=(10, 6))\n",
|
||
"sns.countplot(x=target, palette='viridis')\n",
|
||
"plt.title('Verteilung der Zielvariable (Diebstahl: ja/nein)')\n",
|
||
"plt.xlabel('Diebstahl')\n",
|
||
"plt.ylabel('Anzahl')\n",
|
||
"plt.xticks([0, 1], ['Nein', 'Ja'])\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "825cc812",
|
||
"metadata": {},
|
||
"source": [
|
||
"### Verteilungen der Variablen\n",
|
||
"\n",
|
||
"- **Durchschnittsgeschwindigkeit (`avg_speed`)**: normalverteilt mit Mittelwert 47 km/h und Standardabweichung 10, begrenzt auf den Bereich [10, 130].\n",
|
||
"- **Schaltverhalten (`shift_behavior`)**: ordinal skaliert mit 3 Kategorien, gezogen aus einer Multinomialverteilung (Wahrscheinlichkeiten: 40% früh, 40% normal, 20% spät).\n",
|
||
"- **Harte Bremsmanöver (`hard_brakes`)**: metrisch, modelliert mit einer Poisson-Verteilung (λ = 2).\n",
|
||
"- **Geschwindigkeitsüberschreitungen (`speeding`)**: ordinal skaliert mit 3 Stufen, abhängig von `avg_speed` über eine Softmax-basierte Wahrscheinlichkeitsverteilung.\n",
|
||
"- **Wetterbedingungen (`weather`)**: nominal skaliert, zufällig verteilt mit 75% trocken, 20% nass und 5% winterlich.\n",
|
||
"- **Fahrstrecke (`trip_distance`)**: lognormal verteilt mit μ = ln(12) und σ = 0.7.\n",
|
||
"- **Straßentyp (`road_type`)**: abhängig von `trip_distance`, mit kategorialer Softmax-Verteilung (Innerorts, Außerorts, Autobahn).\n",
|
||
"- **Wochentag (`weekday`)**: nominal mit festgelegter Verteilung (70% Werktage, je 15% Samstag und Sonntag).\n",
|
||
"\n",
|
||
"### Modellierte Abhängigkeiten\n",
|
||
"\n",
|
||
"- Die Variablen `speeding` und `road_type` wurden nicht rein zufällig erzeugt, sondern basieren auf skalierter Eingangsvariablen (`avg_speed` bzw. `trip_distance`) und einem gewichteten Softmax-Verfahren. Dies erlaubt realistischere Zusammenhänge.\n",
|
||
"\n",
|
||
"### Zielvariable und 𝑝ᵢ-Werte\n",
|
||
"\n",
|
||
"Die Zielvariable, die eine Diebstahlwahrscheinlichkeit beschreibt, wurde aus diesen Features modelliert. Die 𝑝ᵢ-Werte repräsentieren dabei individuelle Wahrscheinlichkeiten für Fahrerwechsel und wurden anhand von Beta-Verteilungen erzeugt.\n",
|
||
"\n",
|
||
"### Wahl und Begründung der Beta-Werte\n",
|
||
"\n",
|
||
"Die Beta-Gewichte wurden bewusst so gewählt, dass sie realistische Zusammenhänge zwischen den Merkmalen und dem Auftreten eines möglichen Diebstahls modellieren, ohne die Zielvariable künstlich zu verzerren. Das Ziel war ein realistischer, aber nicht übermäßig häufiger positiver Klassenanteil.\n",
|
||
"\n",
|
||
"- **`avg_speed (0.015)`**: Ein leicht positiver Zusammenhang, da ungewöhnliche Geschwindigkeit (insbesondere zu hohe) auf atypisches Fahrverhalten hindeuten kann.\n",
|
||
"- **`hard_brakes (0.1)`**: Ein höherer Beta-Wert, da aggressive Bremsmanöver oft stark mit ungewohnten Fahrstilen korrelieren.\n",
|
||
"- **`trip_distance (0)`**: Kein Einfluss, da die reine Strecke keine Aussagekraft hat.\n",
|
||
"- **`shift_behavior` (0.05, 0.075)**: Personen, die spät schalten, zeigen eher sportliches oder ineffizientes Verhalten – potenziell abweichend vom üblichen Fahrerprofil.\n",
|
||
"- **`speeding` (0.05, 0.075)**: Häufige Geschwindigkeitsüberschreitungen deuten ebenfalls auf untypisches Fahrverhalten hin.\n",
|
||
"- **`weather` (0, 0)**: Wetterbedingungen spielen keine Rolle.\n",
|
||
"- **`road_type` (0, 0)**: Verschiedene Straßentypen implizieren ebenfalls kein Fahrerprofil\n",
|
||
"- **`weekday` (0, 0)**: Ebenfalls unbedeutend für den Fahrstil.\n",
|
||
"\n",
|
||
"Alle Beta-Werte wurden bewusst reduziert (unterhalb von 0.1), um eine Übergewichtung einzelner Faktoren zu vermeiden und die Zielvariable `Diebstahl` in einem nahe zu realistischen Bereich zu halten. Eine stärkere Gewichtung hätte zu einer zu häufigen Klassifikation als Diebstahl geführt.\n",
|
||
"\n",
|
||
"```visualisierung\n",
|
||
"Die grafische Darstellung zeigt, dass rund 25 % der Fahrten als potenzielle Diebstähle klassifiziert wurden – ein realistischer Wert, der ein geeignetes Trainingsverhältnis für ein Klassifikationsmodell ermöglicht.\n",
|
||
"```\n",
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "adbc166b",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Simulation der Perspektive des Data Scientist"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "f8abd5f5",
|
||
"metadata": {},
|
||
"source": [
|
||
"### Stichprobe entnehmen"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 8,
|
||
"id": "706ff5c6",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"sample_size = 20_000\n",
|
||
"sample_indices = np.random.choice(X.index, size=sample_size, replace=False)\n",
|
||
"X_sample = X.loc[sample_indices]\n",
|
||
"target_sample = target[sample_indices]"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "9b67610e",
|
||
"metadata": {},
|
||
"source": [
|
||
"### Datenexploration und -vorverarbeitung\n",
|
||
"\n",
|
||
"Zunächst verschafft sich der Data Scientist einen Überblick über die Stichprobe, prüft die Verteilung der Zielvariable und der erklärenden Variablen, erkennt potenzielle Ausreißer und prüft auf fehlende Werte. Außerdem werden die Variablentypen für die Modellierung vorbereitet (z.B. One-Hot-Encoding für kategoriale Variablen)."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 9,
|
||
"id": "9f12d325",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Form der Stichprobe: (20000, 18)\n",
|
||
"Anteil Zielvariable (Diebstahl):\n",
|
||
"0 0.7289\n",
|
||
"1 0.2711\n",
|
||
"Name: proportion, dtype: float64\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
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|
||
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|
||
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|
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|
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|
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|
||
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|
||
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|
||
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|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>avg_speed</th>\n",
|
||
" <th>hard_brakes</th>\n",
|
||
" <th>trip_distance</th>\n",
|
||
" <th>shift_frueh</th>\n",
|
||
" <th>shift_normal</th>\n",
|
||
" <th>shift_spaet</th>\n",
|
||
" <th>speeding_haeufig</th>\n",
|
||
" <th>speeding_manchmal</th>\n",
|
||
" <th>speeding_selten</th>\n",
|
||
" <th>weather_nass</th>\n",
|
||
" <th>weather_trocken</th>\n",
|
||
" <th>weather_winterlich</th>\n",
|
||
" <th>road_Autobahn</th>\n",
|
||
" <th>road_Außerorts</th>\n",
|
||
" <th>road_Innerorts</th>\n",
|
||
" <th>weekday_Mo-Fr</th>\n",
|
||
" <th>weekday_Sa</th>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
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|
||
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|
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
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|
||
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|
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|
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|
||
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|
||
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||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <td>NaN</td>\n",
|
||
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|
||
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|
||
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|
||
" <td>12691</td>\n",
|
||
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|
||
" <td>13875</td>\n",
|
||
" <td>16038</td>\n",
|
||
" <td>15060</td>\n",
|
||
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|
||
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|
||
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|
||
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|
||
" <td>13992</td>\n",
|
||
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|
||
" <td>16951</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>mean</th>\n",
|
||
" <td>46.955431</td>\n",
|
||
" <td>1.987300</td>\n",
|
||
" <td>15.300650</td>\n",
|
||
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|
||
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|
||
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||
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||
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||
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||
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||
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||
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||
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||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <td>9.983939</td>\n",
|
||
" <td>1.406321</td>\n",
|
||
" <td>12.277946</td>\n",
|
||
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|
||
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||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <td>NaN</td>\n",
|
||
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|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
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|
||
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|
||
" <tr>\n",
|
||
" <th>min</th>\n",
|
||
" <td>10.000000</td>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>0.764512</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>25%</th>\n",
|
||
" <td>40.210704</td>\n",
|
||
" <td>1.000000</td>\n",
|
||
" <td>7.442576</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>50%</th>\n",
|
||
" <td>46.933676</td>\n",
|
||
" <td>2.000000</td>\n",
|
||
" <td>11.922107</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>75%</th>\n",
|
||
" <td>53.726714</td>\n",
|
||
" <td>3.000000</td>\n",
|
||
" <td>19.153933</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>max</th>\n",
|
||
" <td>81.665638</td>\n",
|
||
" <td>10.000000</td>\n",
|
||
" <td>171.637620</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
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|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" avg_speed hard_brakes trip_distance shift_frueh shift_normal \\\n",
|
||
"count 20000.000000 20000.000000 20000.000000 20000 20000 \n",
|
||
"unique NaN NaN NaN 2 2 \n",
|
||
"top NaN NaN NaN False False \n",
|
||
"freq NaN NaN NaN 12065 11898 \n",
|
||
"mean 46.955431 1.987300 15.300650 NaN NaN \n",
|
||
"std 9.983939 1.406321 12.277946 NaN NaN \n",
|
||
"min 10.000000 0.000000 0.764512 NaN NaN \n",
|
||
"25% 40.210704 1.000000 7.442576 NaN NaN \n",
|
||
"50% 46.933676 2.000000 11.922107 NaN NaN \n",
|
||
"75% 53.726714 3.000000 19.153933 NaN NaN \n",
|
||
"max 81.665638 10.000000 171.637620 NaN NaN \n",
|
||
"\n",
|
||
" shift_spaet speeding_haeufig speeding_manchmal speeding_selten \\\n",
|
||
"count 20000 20000 20000 20000 \n",
|
||
"unique 2 2 2 2 \n",
|
||
"top False False False False \n",
|
||
"freq 16037 12691 13434 13875 \n",
|
||
"mean NaN NaN NaN NaN \n",
|
||
"std NaN NaN NaN NaN \n",
|
||
"min NaN NaN NaN NaN \n",
|
||
"25% NaN NaN NaN NaN \n",
|
||
"50% NaN NaN NaN NaN \n",
|
||
"75% NaN NaN NaN NaN \n",
|
||
"max NaN NaN NaN NaN \n",
|
||
"\n",
|
||
" weather_nass weather_trocken weather_winterlich road_Autobahn \\\n",
|
||
"count 20000 20000 20000 20000 \n",
|
||
"unique 2 2 2 2 \n",
|
||
"top False True False False \n",
|
||
"freq 16038 15060 19022 13217 \n",
|
||
"mean NaN NaN NaN NaN \n",
|
||
"std NaN NaN NaN NaN \n",
|
||
"min NaN NaN NaN NaN \n",
|
||
"25% NaN NaN NaN NaN \n",
|
||
"50% NaN NaN NaN NaN \n",
|
||
"75% NaN NaN NaN NaN \n",
|
||
"max NaN NaN NaN NaN \n",
|
||
"\n",
|
||
" road_Außerorts road_Innerorts weekday_Mo-Fr weekday_Sa weekday_So \n",
|
||
"count 20000 20000 20000 20000 20000 \n",
|
||
"unique 2 2 2 2 2 \n",
|
||
"top False False True False False \n",
|
||
"freq 13305 13478 13992 17041 16951 \n",
|
||
"mean NaN NaN NaN NaN NaN \n",
|
||
"std NaN NaN NaN NaN NaN \n",
|
||
"min NaN NaN NaN NaN NaN \n",
|
||
"25% NaN NaN NaN NaN NaN \n",
|
||
"50% NaN NaN NaN NaN NaN \n",
|
||
"75% NaN NaN NaN NaN NaN \n",
|
||
"max NaN NaN NaN NaN NaN "
|
||
]
|
||
},
|
||
"execution_count": 9,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Überblick über die Stichprobe\n",
|
||
"print(\"Form der Stichprobe:\", X_sample.shape)\n",
|
||
"print(\"Anteil Zielvariable (Diebstahl):\")\n",
|
||
"print(pd.Series(target_sample).value_counts(normalize=True))\n",
|
||
"\n",
|
||
"# Merkmale\n",
|
||
"X_sample.describe(include='all')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 10,
|
||
"id": "30bfcdde",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Fehlende Werte pro Spalte:\n",
|
||
"avg_speed 0\n",
|
||
"hard_brakes 0\n",
|
||
"trip_distance 0\n",
|
||
"shift_frueh 0\n",
|
||
"shift_normal 0\n",
|
||
"shift_spaet 0\n",
|
||
"speeding_haeufig 0\n",
|
||
"speeding_manchmal 0\n",
|
||
"speeding_selten 0\n",
|
||
"weather_nass 0\n",
|
||
"weather_trocken 0\n",
|
||
"weather_winterlich 0\n",
|
||
"road_Autobahn 0\n",
|
||
"road_Außerorts 0\n",
|
||
"road_Innerorts 0\n",
|
||
"weekday_Mo-Fr 0\n",
|
||
"weekday_Sa 0\n",
|
||
"weekday_So 0\n",
|
||
"dtype: int64\n",
|
||
"\n",
|
||
"avg_speed 0\n",
|
||
"hard_brakes 0\n",
|
||
"trip_distance 0\n",
|
||
"shift_frueh 0\n",
|
||
"shift_normal 0\n",
|
||
"shift_spaet 0\n",
|
||
"speeding_haeufig 0\n",
|
||
"speeding_manchmal 0\n",
|
||
"speeding_selten 0\n",
|
||
"weather_nass 0\n",
|
||
"weather_trocken 0\n",
|
||
"weather_winterlich 0\n",
|
||
"road_Autobahn 0\n",
|
||
"road_Außerorts 0\n",
|
||
"road_Innerorts 0\n",
|
||
"weekday_Mo-Fr 0\n",
|
||
"weekday_Sa 0\n",
|
||
"weekday_So 0\n",
|
||
"dtype: int64\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Prüfung auf fehlende Werte\n",
|
||
"print(\"Fehlende Werte pro Spalte:\")\n",
|
||
"print(X_sample.isnull().sum())"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "201bca58",
|
||
"metadata": {},
|
||
"source": [
|
||
"### Feature Engineering\n",
|
||
"\n",
|
||
"Für die Modellierung werden kategoriale Variablen in numerische Dummy-Variablen umgewandelt. Dies ist notwendig, damit die Regressionsmodelle die Informationen nutzen können. Außerdem werden die Daten in Trainings- und Testdaten aufgeteilt, um eine objektive Modellbewertung zu ermöglichen. In unserem Fall sind die kategorischen Variablen schon aus dem vorherigen Schritt One-Hot Encoded, weil wir aus den Variablen das logistische Regressionsproblem erstellt haben."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 11,
|
||
"id": "b71ab517",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Trainingsdaten: (14000, 18)\n",
|
||
"Testdaten: (6000, 18)\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"from sklearn.model_selection import train_test_split\n",
|
||
"\n",
|
||
"# Zielvariable\n",
|
||
"y = target_sample\n",
|
||
"\n",
|
||
"# One-Hot-Encoding für kategoriale Variablen\n",
|
||
"X_encoded = pd.get_dummies(X_sample, drop_first=True)\n",
|
||
"\n",
|
||
"# Aufteilung in Trainings- und Testdaten\n",
|
||
"X_train, X_test, y_train, y_test = train_test_split(X_encoded, y, test_size=0.3, random_state=42)\n",
|
||
"print(\"Trainingsdaten:\", X_train.shape)\n",
|
||
"print(\"Testdaten:\", X_test.shape)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "761c0673",
|
||
"metadata": {},
|
||
"source": [
|
||
"### Modellierung der Korrelationen und kategorischen Variablen"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 12,
|
||
"id": "8a320b4c",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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00Vuvd9y4cRQuXJiRI0fy/Plzpk6d+tbLfCMn7SK9Nm3aMG3aNB4+fEjXrl1zLZMQQoj8SzoWhBBC5Irx48djYGDA999/r7q7/9SpU2nevDmNGzfm66+/pmDBgixatIgrV66wYcOGt/qWeMSIEWzbto2GDRsycuRIKleuTFJSEiEhIRw4cICvvvpK6x9vb37G7/PPP6dLly7cv3+fKVOmUKJECW7evKlW1sPDg6NHj7J7925KlChB4cKFcXFxybBMAwMDZsyYQc+ePWnTpg2DBw8mLi6On3/+mZiYGKZNm5bjbRw/fjwPHjygadOm2NvbExMTw9y5czEyMsLLyyvHy9OkefPmFCxYkO7duzN69GhevXrFL7/8kuGyDUiui+3bt/PLL79QvXp1DAwMqFGjRo7XuWzZMtauXcvKlSupVKkSlSpVYujQoYwZM4Z69epRq1YtrfOOGzeOXbt20aRJE8aPH4+pqSkLFy7M8BOjzs7OTJ48me+++47bt2/TsmVLrKysCAsL46+//sLMzEzrzzfqIjv793//+x/r1q2jVatWfPnll9SqVQsjIyMePHjAkSNHaN++PR07dszRer/88kvMzc3x8fHh2bNnzJs3762Oqzdy0i7Sq1evHj4+PvTv35/z58/TsGFDzMzMCA0NVf0k7WefffbWGYUQQuQf0rEghBAi14wbNw4DAwPV8OyNGzfyxx9/MGHCBPr160dSUhKenp7s2rUrw03lcsrMzIwTJ04wbdo0lixZwp07dzAxMcHR0ZFmzZrh7Oysdd7+/fsTHh7Or7/+yooVKyhTpgzffPMNDx48yPDH5ty5c/niiy/43//+p/qJS203n+vRowdmZmZMnTqVbt26YWhoSO3atTly5Ah169bN8TZ+9NFHnD9/njFjxhAREYGlpSU1atTgjz/+oFKlSjleniaurq5s27aNcePG0alTJ2xsbOjRowejRo3i448/Viv75ZdfcvXqVb799ltiY2NRKpUolcocre/y5csMHz6cvn370q9fP9X0mTNnqn5e8+LFi1haWmqc393dnUOHDvHVV1/Rt29frKys6N27N507d8bHx0et7NixY3Fzc2Pu3Lmqn/+0s7OjZs2aDBkyJEe5c4OhoSG7du1i7ty5rFmzhqlTp1KgQAHs7e3x8vLCw8NDp+UOHDgQMzMzevfuzfPnz1m2bNlbZ81Ju9Bk8eLF1K5dm8WLF7No0SKSkpIoWbJklh1HQggh9JNCmdNPBEIIIYQQQgghhBAp5FchhBBCCCGEEEIIoTPpWBBCCCGEEEIIIYTOpGNBCCGEEEIIIYQQOpOOBSGEEEIIIYQQQuhMOhaEEEIIIYQQQgihM+lYEEIIIYQQQgghhM6kY0EIIYQQQgghhBA6K5DXAYR44zcjl7yOkC1OgcfyOkKWDEjK6whZSpJ+zVyjQJnXEbJUQJGQ1xGyJUGZ/98W45IK5nWELBU0iM/rCNmiD8eOEkVeR8iSPtQj6Edd6oMkpX68f+vD+44+tMlK5UrkdQShJ/TjzCCEEEIIIYQQQoh8SToWhBBCCCGEEEIIoTPpWBBCCCGEEEIIIYTOpGNBCCGEEEIIIYQQOpOOBSGEEEIIIYQQQuhMOhaEEEIIIYQQQgihM+lYEEIIIYQQQgghhM6kY0EIIYQQQgghhBA6k44FIYQQQgghhBBC6Ew6FoQQQgghhBBCCKEz6VgQQgghhBBCCCGEzqRjQQghhBBCCCGEEDqTjgUhhBBCCCGEEELoTDoWxDujUCjYuXNnXscQQgghhBBCCPEOFcjrAEJkh3X9GpT5aiAW1dwpVLIY5zt/Ttiuw5nP06AmbjO/wdytPHH/hhPsu4yQJRvVyth1bEGFiV9iWtaRF8EhBI2fTZj/obfKqlQq2bzej4P7d/P82VPKu7jx6WcjcHQqnel8p08dY+Oa5TwK/Re7EiXp0edTPqrbUK3M/j078N++keioKBwcnenvMxQ3d88cZ9y3Zyc7t28iOioSB0dnBvoMxc29stbyVy4HsHLpIu6H3MXa2pYOXf5Hy1btVK+H3LvDhrUrCb51g4jwMAYM+oK2HbrkOFd6+lCX+pBx356dKcuJxMGxNAOy2N9XVfv7jmp/e7dqnyH/hjUr1PLXrtsgx9ne2LvHn+3bthAdFYmjkzOf+nxOJXcPreWvXL7E8qW/EnLvLtY2NnTq3I2PW7fVWPb4sSPMnP4jH9Wuy3fjJ+ucEfSjLpVKJds2LOfw77t4/uwJ5SpUov+Qr3BwKpPpfGdPHWHLuqWEhT6keIlSdOs9mJp1vDSW3bllNZtW/0rLdl3pO2iEzjnl2Mmd/f1fq8eQe3fYuHYlwbeCiAgPo/+gL2jb4ZMc50pPH+ryXWW8euUS/ts2cPvWDaKjIhk97gc+qvN27XLL+pUc+n0Xz549pXwFNz79bBQOWeQ8c+ooG9cuIyz0X4qXKEn33j5qOa9dCWDXtg3cDg4iOiqS//vuR2rVaZjJErXTh89C+nLsCAEyYkHoCUMzU578E8TVL7P3R4GJsz01dy8h6uQFTtbswK3pv1Jp9nfYdWyhKmNZuwpV18/m4Tp/TlRvz8N1/lTbMAfLWtpP2Nmxc+sGdu/YzKdDRjB99mIsrayZPO4rXr54oXWeoMArzJo2Ca8mLfBdsDz532kTuXH9mqrMqeN/sHLpAjp3683MeUup6F6ZHyeMISI8LEf5Th7/gxVLF9KlWy985y3Fzb0yUzJZTtijUH6YMBY398r4zltK5249Wb54PqdPHVOViYuLo7hdSXr388HKyjpHeTKT3+tSHzKeVC2nF77zllHR3YMfJozOYn9/Q0V3D3znLaOThv0dFHgV35T8sxYs05g/J04cO8KyJb/QtVsP5sz/FbdKHkwaP1ZrxkePQpk0/jvcKnkwZ/6vfNK1B0sXL+TPk8czlA0PC2PlssW4VdLeSZFd+lCXALu3rWXvzo30HzyKH2ctx9LKmp/Gj+Dli+da57lx/TLzZoynfuOWTJu3ivqNWzJ3+jhuBV3NUDb4xjX+2O+Po3M5nTOCHDu5tb//i/WY/J5Tgt79fLCU95xcyRj36iXOpcvx6ZAROc6kif+29ezZuYmBQ0YybdZSLK2smfL9yCxzzp4+Ea/G3sycvxKvxt7Mnj6em2nOQ3GvXuFUphwDh4x8q3z68FlIn44dIUA6FnLF/v37qV+/PpaWltjY2NCmTRuCg4MBqFOnDt98841a+YiICIyMjDhy5AgAoaGhtG7dGhMTE0qXLs369etxdnZmzpw52Vr/xIkTcXR0xNjYmJIlSzJ8+HDVa87OzkyZMoUePXpgbm5OyZIlmT9/vtr8sbGx+Pj4UKxYMYoUKUKTJk24dOmSWpndu3dTvXp1ChUqRJkyZZg0aRIJCQmq12/evEnDhg0pVKgQbm5uHDx4MNv1lx0Rvx/nxoQ5PNqZveU6+fyPVyGhXPvqJ55dv839FVu577edMqMGqMqUHtaXx4f+JHjGEp4H3SZ4xhIe/3EG52F9dc6pVCrZ47+Fzt16U7teQxydyzBs1Fji4uI4cUz7SIg9/lvxrFqdTl17Ye/gRKeuvfDwrM4e/y2qMrt3bKZJi1Y0826DvaMzA3yGYWNblN/3+uco464dW2jaohXNvVvj4OjEQJ+h2NgWY//eXRrL/753F7ZFizHQZygOjk40925Nk+Yfs3P7ZlWZ8hVc6TdwCA28mlDAyChHebTRh7rUh4y7Vfu7DfaOTgz0GYaNbTGty0nd38Owd3SiuXcbmjT/GP/tm1KX6b8Vz6o16Ny1J/YOTnTu2hMPz2rs8d+ao2xv+O/YRrMWLWnRshUOjk4MGvw5tkWLsfe33RrL79+7h6LFijFo8Oc4ODrRomUrmjVvyY7tW9TKJSYm4vvzT3Tv1Re7EiV0ypaWPtSlUqlk367NdOjal1p1G+HgVJbPRn7P67hXnDqm/fy5z38zHlVq0uGTPpRycKbDJ32o5FmDvbs2qZV79fIFC3wnMWjYN5iZF9Yp45uccuzkzv7+L9Zj+Qqu9B34GfW9mmIk7zm5krFajdrJo2fq6fbtf/qcv/lvplO3PnxU1wtH5zIMHfUdcXFxnMzkPPTbri1UrlqDjl17U8rBiY5de+PuWZ3f0uSsWqM23XsP4qO6mkdTZZc+fBbSl2NHiDekYyEXPH/+nFGjRnHu3DkOHz6MgYEBHTt2JCkpiZ49e7JhwwaUSqWq/KZNmyhevDheXsknxT59+vDvv/9y9OhRtm3bxpIlSwgPD8/Wurdu3crs2bNZvHgxN2/eZOfOnXh4qH8z9/PPP1O5cmX+/vtvxo4dy8iRI1V/+CuVSlq3bs2jR4/Yu3cvFy5coFq1ajRt2pSoqCgAfv/9d3r16sXw4cO5du0aixcvxs/Pjx9//BGApKQkOnXqhKGhIWfOnOHXX39lzJgxb12vb8OydhUiDp1SmxZx4AQW1d1RFEi+AsiqdhUeHzqpVubxwRNY1amq83rDHoUSEx2FZ7UaqmlGRgWp5O5JUOAVrfPduH4Vz6o11aZVqVaToMDkXvr4+HiCb92gSroyntVqZrrc9FKXU0NtepVqNbiuZTlB169RpZp6+arVahJ8M0itcym35fe61IeMycsJ0riu64EZv4l+k61KtfTla6nt7xvXr2bIVrVaLa3LzCrjrVs3qJq+jVWtzvVAzd/iXg+8RtWq1dXLV6/BrZs31Nrkpg1rsbCwpIX3xznOpSlnfq9LgPCwf4mJjsSjai3VNCOjglR0r8KN65e1znfz+hUqp5kHwLPqR9wMVJ9nxa++VK1RF48q6plzSo6dVG+zv/+r9fgu5Pe6fJcZc1t4WErONOs0MiqIm3uVLHJe0ZCzVo7rKSv68FlIn44dId6Qeyzkgs6dO6s9X758OcWKFePatWt069aNkSNHcvLkSRo0SL5Wbf369fTo0QMDAwOuX7/OoUOHOHfuHDVqJJ+wli1bRvny5bO17pCQEOzs7GjWrBlGRkY4OjpSq5b6h8N69eqpRk1UqFCBU6dOMXv2bJo3b86RI0e4fPky4eHhGBsbAzBz5kx27tzJ1q1b8fHx4ccff+Sbb76hb9/kb/LLlCnDlClTGD16NBMmTODQoUMEBgZy9+5d7O3tAfjpp5/4+GPtH+bj4uKIi4tTmxavTMJIkTt9XcbFbYkLe6w27XV4JAZGRhS0tSLuUQTGdrbEhUWq5wqLxNiuqM7rjYlO7oyxtFQfXmZhaUVEhPYhjzHRUVhaWalNs7SyUi3v6ZNYkpISsUi3XEvL1DLZkbycJCwt063L0oqY6GiN80RHR1FVQ/nExESePInF2tom2+vPifxel/qQUdv+tshkOdHRUVTJYn/HREdhkS6/hVXO6w/gibaMmSxP0/rTZ7x29QoHf9/H3AWLc5xJE32oS4DYlPnStx0LS2sehz/SOl9MTKTGedLm+PP4Qe4GB/HDrOU6ZVNbnxw7qct8i/39X63HdyG/1+W7zJjbYqIjU3JlzJnpeSg6KsvzUG7Qh89C+nTsCPGGjFjIBcHBwfTo0YMyZcpQpEgRSpdOvjFNSEgIRYsWpXnz5qxbtw6AO3fucPr0aXr27AlAUFAQBQoUoFq1aqrllStXDqt0bwDafPLJJ7x8+ZIyZcowaNAgduzYkaFXsk6dOhmeBwYGAnDhwgWePXuGjY0N5ubmqsedO3dUl3NcuHCByZMnq70+aNAgQkNDefHiBYGBgTg6Oqo6FTStM72pU6diYWGh9ticlMtvcGlGiQCgUGScrqlM+mmZOH7kID07t1Q9EhMTUhajSB8GBemnpaf+ulKZcTnpF6tUapiYHQpN68qseLryJNdR1tuUffpQl/qQUeOaNCxIt/2dpkyG/JkvU5eMmS0wQ40rU9vkixcvmDVzGkOHj6KIhYXuobKZMy/r8uTR3+n3SVPV4835P8N6szrI04dKyfpmOZERYaxaOocvvppAwYLG2QuXhhw7acq8xf6Wesw9+lCX7zujrk4cOUCvLi1Uj9TzUPqYWZ+HNLeV3NzzaitLv6o8/yyU1Trzw7EjhDYyYiEXtG3bFgcHB5YuXUrJkiVJSkrC3d2d169fA9CzZ0++/PJL5s+fz/r166lUqRKensl3AlZq+SNW2/T0HBwcCAoK4uDBgxw6dIjPP/+cn3/+mWPHjmV67dSbE09SUhIlSpTg6NGjGcpYWlqqykyaNIlOnTplKFOoUCGNWbN6Exg7diyjRo1Sm/aHdXUtpXMuLuxxhpEHBYtakxQfz+vImOQyjx5jbGerVsa4mHWGkQ6ZqflRPcq7VFQ9j4+PByA6OhKrND3DsTExGb4tSMvSKmOPfGxMNBYpPc+Fi1hgYGCYsUxsdIbe7MwkL8dA43IstCzHysqa6AzZYjA0NKRwkSLZXndW9KEu9SFjWm/2d4b9FxuT4VuhN6w0Znuzvy205n8So32ZmSmiLWNMjNZtTV6/+rdKsbGpbTLk3l3Cwx4xZdI41etvzlMd2rTgl6V+lChRMkc582tdVq9Vn3IVKqmex8cnv+/EREdiZZ16fnsSG53pMi0tbVSjHVJzpLbJ27eu8yQmmm9HpN6nJikpketXAziwZxtrth/FwNBQ6/Ll2Mmd/S31mHsdhfpQl+8r49uq8VF9yrm4qZ4npOSMiY5SOw/FxsZkGG2RMaf6SNLMPp/oKj9/FkqfMT8eO0JoIyMW3lJkZCSBgYGMGzeOpk2bUrFiRaLTfeDt0KEDr169Yv/+/axfv55evXqpXnN1dSUhIYGLFy+qpt26dYuYmJhsZzAxMaFdu3bMmzePo0ePcvr0aS5fTr0u9syZM2rlz5w5g6urKwDVqlXj0aNHFChQgHLlyqk9bG1tVWWCgoIyvF6uXDkMDAxwc3MjJCSEf//9V7WO06dPZ5rZ2NiYIkWKqD1y6zIIgJgzAdg2ras2rWjz+sReuIIypSc9+kwAtk3rqZWxbVaf6NMXyS4TU1NKlLRXPRwcnbG0suafi+dVZeLj47l65RIuFd21LqeCayUuBZxXm3bp4jlcKib/wWBkZETZchW4dFG9zD8Xz2e63PS0LefSxQu4almOi6sbly5eUJsWcPE8Zcu7UKBA7vVN6kNd6kPGtJKX46Jhf5/HtWIljfNUcK2kofw5tf2tKX/AxXNal5lVxnLlKhCQoY1dwLWim8Z5XCu6ZSh/8e/zlCtfgQIFCmDv4Mj8RUuZu2Cx6lHrozp4VK7C3AWLsbXN+eVO+bUuTUzNsCtpr3rYO5bG0sqGywHnVGUS4uMJvBJABVftv4xR3tVdbR6Afy7+RfmKyfO4e9ZgxoI1TJvnp3qUKedKPa8WTJvnl2mnQnJOOXa05c/Z/pZ6zC36UJfvK+PbSp/TXpUz9ZwSHx/PtSsBWeR0V9u21JzZb3PZkZ8/C6lnzJ/HjhDaSMfCW7KyssLGxoYlS5Zw69Yt/vjjjwzfxJuZmdG+fXu+//57AgMD6dGjh+o1V1dXmjVrho+PD3/99RcXL17Ex8cHExOTbA398vPzY/ny5Vy5coXbt2+zZs0aTExMcHJyUpU5deoUM2bM4MaNGyxcuJAtW7bw5ZdfAtCsWTPq1KlDhw4d+P3337l79y5//vkn48aN4/z55JPT+PHjWb16NRMnTuTq1asEBgayadMmxo0bp1qGi4sLffr04dKlS5w4cYLvvvvures2LUMzU4p4ulLEM7lDxLS0PUU8XSnkkHynd5cfRuG5crqq/L0lGzFxKknFn7/B3LUM9v0649C/M7dnrVCVubtgNbbN61Hm60GYuZShzNeDsG1ah7vzV+mcU6FQ0Kb9J2zbvI6zfx4n5O5tFsyeirGxMQ28mqnKzfP9kbV+S1TPW7frwqW/z7Njy3oe3L/Hji3r+SfgAm3ap/62cNuOXTl84DcOH/iNByF3WblkAY8jwmmR5jeUs6Ndx084dGAvhw7s5X7IPVYsWcjjiDC8W7UFYI3fUub6/qQq792qHRHhYaxYupD7Ifc4dGAvhw/spUOnrqoy8fHx3Am+xZ3gWyQkJBAZ+Zg7wbcI/fdhjuvwDX2oS33I2LbjJynL2cuDkHusWLKAxxFhquWs9VuicX+vXLqQByH3OJyyv9t36qYq06ZdZwL+Psf2lPzbVfl1+73u9h07c/D3fRw8sI/7IfdYtmQRERHhfJzSJletXMbsmdNU5Vu2akN4eDjLl/zC/ZB7HDywj0MH9tOxU3L9FSxYECfn0moPM3Pz5HOjc2md74StD3WpUCj4uF1X/Les5tzpY9y/F8wvc36goHEh6nk1V5VbNGsyG1b9onr+cbuu/HPxL3ZtXcPD+3fZtXUNVy6do1W75KwmpmY4OJVVexgXMsG8iAUOTmV1yinHTu7s7/9iPSa/59zkTvBNEhISiIp8zJ3gm4T++yDHdfiGPtTlu8z48uULVZ0ChD8K5U7wTZ1+ElOhUNC6fVe2b1mryrlwzk8YGxtTP815aL7vD6zz+1U958Vz7Ny6jof377Fz6zouB5yndfqct29y53ZKzrBQ7tzOeU59+CykL8eOEG9I99VbMjAwYOPGjQwfPhx3d3dcXFyYN28ejRo1UivXs2dPWrduTcOGDXF0dFR7bfXq1QwcOJCGDRtiZ2fH1KlTuXr1KoUKFcpy/ZaWlkybNo1Ro0aRmJiIh4cHu3fvxsYmdYjcV199xYULF5g0aRKFCxfG19cXb29vIPnkv3fvXr777jsGDBhAREQEdnZ2NGzYkOLFiwPg7e3Nnj17mDx5MjNmzMDIyAhXV1c+/fRTVR3s2LGDgQMHUqtWLZydnZk3bx4tW7Z8m6pVY1HdnTqH16ieu838FoD7q7fzz8CxGJcoiolD6s/Jvbz7gHNtfXDzHYvTZz2J+zecqyN/5NGOA6oy0acvcrHnKFwmjcBl0nBeBN/nYo+RxPz1z1tl7dClO69fx7Fk0WyeP3tGeZeKjJ8yExNTU1WZxxHhKNKM0HB1c2fUmPGsX7OcjWuXU9yuJKPGTKSCa+o3tvUaNuHpk1i2bFhNdFQkjk6l+XbSdIoVs8tRvvoNm/D0yRM2b1hNdFQUjk7OjJs0TbWc6KhIIiJSf5WkuF0Jxk2aysqli9i3xx9rGxsGDh5GnXqpP/UUHRXJqOGDVM/9t2/Cf/smKnl48sO0OTnKl1Z+r0t9yJi6v1el7O/SfJdmOdFRkTxOc9Ov5P09jRVLF7Jvz06N+/tN/g1rlrNx7QqK25XkqzET1PLnRAOvxjx9+oRN69cSFRWFk7Mz4yf9RLGUc1B0dJRam7SzK8GEyT+ybMkv/LZnF9Y2Ngwa/AV167/9z6RlRh/qEqBt5168fh3Hil9m8vzZU8pWcOPbybMxMTVTlXkcEabWJitU9GD46ElsXrOEzeuWUtyuFMNHT6GcS+58o6mJHDu5s7//i/UYHfWYr7S850yZNjdH+dLK73X5LjMG3wxiwtgRqud+yxYC0KhpS4aNGpvjnO079+B1XBzLfvHl+bNnlHOpyLjJs9LlDENhkPolmktFD0aMnsDGtcvYuHYZdnalGDlmEuXTnIdu3wxi4repP6u+atkCALyatmToyOx/qaUPn4X06dgRAkChzO7F/OK9efDgAQ4ODhw6dIimTZu+1bKcnZ0ZMWIEI0aMyJ1w79BvRi55HSFbnAKP5XWELBmQlNcRspQkA6ZyjYL8fxovoNCPn7pKUOb//va4pIJ5HSFLBQ3i8zpCtujDsaPUg9uu6UM9gn7UpT5IUurH+7c+vO/oQ5usVK5E1oWEQEYs5At//PEHz549w8PDg9DQUEaPHo2zszMNG77bb9+EEEIIIYQQQoi3pR9djh+4+Ph4vv32WypVqkTHjh0pWrQoR48excjIiHXr1qn9zGPaR6VK726IqhBCCCGEEEIIkR1yKUQ+9/TpU8LCNN+QxsjISO0mjfpOLoXIPXIpxH+LPgxD1ochqSCXQuQWuRQi9+jDUGl9qEfQj7rUB3IpRO7RhzYpl0KI7Mr/n6D+4woXLkzhwoXzOoYQQgghhBBCCKGRfnQ5CiGEEEIIIYQQIl+SjgUhhBBCCCGEEELoTDoWhBBCCCGEEEIIoTPpWBBCCCGEEEIIIYTOpGNBCCGEEEIIIYQQOpOOBSGEEEIIIYQQQuhMOhaEEEIIIYQQQgihM+lYEEIIIYQQQgghhM6kY0EIIYQQQgghhBA6k44FIYQQQgghhBBC6Ew6FoQQQgghhBBCCKGzAnkdQIg3nAKP5XWEbLlX0SuvI2TJOfBoXkfIkgJlXkfIFiWKvI6QJX3IGK80yusI2aIP7bKgQXxeR8iSPtQj6MexI3KPPuxvQxLzOkKWFAo5vnNLknzHKz4g0pqFEEIIIYQQQgihM+lYEEIIIYQQQgghhM6kY0EIIYQQQgghhBA6k44FIYQQQgghhBBC6Ew6FoQQQgghhBBCCKEz6VgQQgghhBBCCCGEzqRjQQghhBBCCCGEEDqTjgUhhBBCCCGEEELoTDoWhBBCCCGEEEIIoTPpWBBCCCGEEEIIIYTOpGNBCCGEEEIIIYQQOpOOBSGEEEIIIYQQQuhMOhaEEEIIIYQQQgihM+lY0KJRo0aMGDHivazL2dmZOXPmZKusQqFg586d7yTH+9xmIYQQQgghhBAfhgJ5HUCInFAqlWxe78fB/bt5/uwp5V3c+PSzETg6lc50vtOnjrFxzXIehf6LXYmS9OjzKR/VbahWZv+eHfhv30h0VBQOjs709xmKm7tntrNZ169Bma8GYlHNnUIli3G+8+eE7Tqc+TwNauI28xvM3coT9284wb7LCFmyUa2MXccWVJj4JaZlHXkRHELQ+NmE+R/Kdi5N9u3ZmbKtkTg4lmaAz1Dc3CtrLX/1cgArly7ifsgdrK1t6dDlf3i3aq9W5vSpY2xYs0KtjmvXbfBBZ4T83Sb1KaO+5NSHdin1KMd3fsuoX/t7JYdS6rKcixuDPhuJQxZ1eebUUbW67N5nkFpdXrsSgP+2jdy+FUR0VCSjx/1IrTq6Zd23Zyc7t29KqUtnBmZRl1dUdXlXVZctW7VTvR5y7w4b1q4k+NYNIsLDGDDoC9p26KJTtrQZ9WF/53bOkHt32Lh2JcG3gogID6P/oC9o2+GTt8qoD21SiDdkxMJ7kpiYSFJSUp6sOz4+Pk/W+y7s3LqB3Ts28+mQEUyfvRhLK2smj/uKly9eaJ0nKPAKs6ZNwqtJC3wXLE/+d9pEbly/pipz6vgfrFy6gM7dejNz3lIqulfmxwljiAgPy3Y2QzNTnvwTxNUvJ2ervImzPTV3LyHq5AVO1uzArem/Umn2d9h1bKEqY1m7ClXXz+bhOn9OVG/Pw3X+VNswB8ta2t/4snJSta298J23jIruHvwwYbTWbQ17FMoPE76horsHvvOW0albT5Yvns/pU8dUZYICr+KbUsezFizTWMcfWsY38nOb1KeM+pBTX9ql1KMc3/kpo37t7/Xs2bGZgUNGMG32kpS6HJWtumzYxBvfBSto2MSbWdMmqGV59eoVzqXLMnDIiLfKd/L4H6xYupAu3XrhO28pbu6VmZLJPkmuy7G4uVfGd95SOmuoy7i4OIrblaR3Px+srKzfKt+bjPqwv99FzuS6LEHvfj5Y5kJdQv5vk0KkJR0LmUhKSmL06NFYW1tjZ2fHxIkTVa/NmjULDw8PzMzMcHBw4PPPP+fZs2eq1/38/LC0tGTPnj24ublhbGzMvXv3CA8Pp23btpiYmFC6dGnWrVuX41yhoaF8/PHHqmVs2bJF9drdu3dRKBRs3ryZRo0aUahQIdauXUtkZCTdu3fH3t4eU1NTPDw82LBhQ6br2b9/PxYWFqxevRqAhw8f0q1bN6ysrLCxsaF9+/bcvXtXVf7o0aPUqlULMzMzLC0tqVevHvfu3cvx9mmjVCrZ47+Fzt16U7teQxydyzBs1Fji4uI4cUz7N/h7/LfiWbU6nbr2wt7BiU5de+HhWZ09/qn1tnvHZpq0aEUz7zbYOzozwGcYNrZF+X2vf7bzRfx+nBsT5vBo58FslXfy+R+vQkK59tVPPLt+m/srtnLfbztlRg1QlSk9rC+PD/1J8IwlPA+6TfCMJTz+4wzOw/pmO1d6u3dsoWmLVjT3boO9oxMDfYZhY1tM67b+vncXtkWLMdBnGPaOTjT3bkOT5h/jv31T6jL9t+JZtQadu/bE3sGJzl174uFZjT3+Wz/YjJD/26S+ZNSXnPrQLqUe5fjObxn1aX//5r+FTt16U7ueV0pdfptSl9rf13/z30LlqjXo1LUXpdLU5W9p6rJajdp07zOI2vW8dM4HsEtVl61xcHRioM9QbGyLsX/vLo3lU+tyKA6OTjT3bk2T5h+zc/tmVZnyFVzpN3AIDbyaUMDI6K3ygf7s73eRs3wFV/oO/Iz6Xk0xyoW61Ic2KURa0rGQiVWrVmFmZsbZs2eZMWMGkydP5uDB5APZwMCAefPmceXKFVatWsUff/zB6NGj1eZ/8eIFU6dOZdmyZVy9epVixYrRr18/7t69yx9//MHWrVtZtGgR4eHhOcr1/fff07lzZy5dukSvXr3o3r07gYGBamXGjBnD8OHDCQwMxNvbm1evXlG9enX27NnDlStX8PHxoXfv3pw9e1bjOjZu3EjXrl1ZvXo1ffr04cWLFzRu3Bhzc3OOHz/OyZMnMTc3p2XLlrx+/ZqEhAQ6dOiAl5cX//zzD6dPn8bHxweFQpGjbctM2KNQYqKj8KxWQzXNyKggldw9CQq8onW+G9ev4lm1ptq0KtVqEhR4FUge0RF86wZV0pXxrFYz0+W+LcvaVYg4dEptWsSBE1hUd0dRIPkqJavaVXh86KRamccHT2BVp6pO60ze1iCN9XE9pT7Su3H9KlWqpS9fi+CbQSQkJKSWSbfMqtVqaV2mvmd8Qx/apD5k1Iec+tIupR5TyfGd9xn1aX+Hq+oydblGRgVx06EuPavVyvXPD6n7pIba9CrVanBdy7qCrl+jSjX18lWr1VSry9zPmP/397vKmdvye5sUIj3pWMhE5cqVmTBhAuXLl6dPnz7UqFGDw4eTr5kfMWIEjRs3pnTp0jRp0oQpU6awefNmtfnj4+NZtGgRdevWxcXFhYcPH7Jv3z6WLVtGnTp1qF69OsuXL+fly5c5yvXJJ5/w6aefUqFCBaZMmUKNGjWYP3++WpkRI0bQqVMnSpcuTcmSJSlVqhRff/01VapUoUyZMgwbNgxvb2+10Q5vLFq0iCFDhuDv70/79snXjm3cuBEDAwOWLVuGh4cHFStWZOXKlYSEhHD06FGePHlCbGwsbdq0oWzZslSsWJG+ffvi6OiYo23LTEx0FACWlurDyywsrYhOeU3bfJZWVmrTLK2sVMt7+iSWpKRELNIt19Iytcy7YFzclriwx2rTXodHYmBkREHb5LzGdrbEhUWqlYkLi8TYrqhO60ze1iQsLdXrwyKTbY2OjsIiXXlLSysSExN58iQWSK5ji3R1bGGlW/3pQ8Y39KFN6kNGfcipL+1S6jHNMuX4zvOM+rS/o6MjU9aVfputM11uVnWZW7TVZfI+idY4T3R0lMbyaevyfWTMb/v7XeXMbfm9TYrcc/z4cdq2bUvJkiWzfaP+Y8eOUb16dQoVKkSZMmX49ddfM5TZtm2bauS8m5sbO3bseAfpU8nNGzNRubL6dewlSpRQjS44cuQIP/30E9euXePJkyckJCTw6tUrnj9/jpmZGQAFCxZUW0ZgYCAFChSgRo3U3mNXV1csLS1zlKtOnToZngcEBKhNS7sOSL7Hw7Rp09i0aRMPHz4kLi6OuLg4VdY3tm3bRlhYGCdPnqRWrVqq6RcuXODWrVsULlxYrfyrV68IDg6mRYsW9OvXD29vb5o3b06zZs3o2rUrJUqU0LgNb9af1uu4OAoaG6ueHz9ykMULfFXPv504DUDDKAglCrIaGaH+ulKZcTnpF6tUapiY25RK9edv1pd2uqYy6aflUIY6VCoz3dT05ZUkrz/t1PT7QJnFMvUxoz60SX3IqE85M6wpn7VLqcc0ZeT4zhcZNa4pX+7vAyxJU5djJ05PWXe6qNmoS81Z3tHnh/R1o8x8l2ivy3f3+SY/7u/srDc3cr4NvW2T4q09f/4cT09P+vfvT+fOnbMsf+fOHVq1asWgQYNYu3Ytp06d4vPPP6do0aKq+U+fPk23bt2YMmUKHTt2ZMeOHXTt2pWTJ0/y0UcfvZPtkI6FTKS/PkqhUJCUlMS9e/do1aoVQ4YMYcqUKVhbW3Py5EkGDhyodqNEExMTtYNYmfLH4Ls4sNMvM32Hga+vL7Nnz2bOnDmqe0OMGDGC169fq5WrUqUKf//9NytXrqRmzZqq5SYlJVG9enWN94QoWjT52/OVK1cyfPhw9u/fz6ZNmxg3bhwHDx6kdu3aGeaZOnUqkyZNUpv22bCv+Hz416rnNT+qR3mXiqrnb+o2OjoSK2sb1fTYmJgMPbNpWVpl7NmNjYlW9TwXLmKBgYFhxjKx0Rl6s3NTXNjjDCMPCha1Jik+nteRMcllHj3G2M5WrYxxMesMIx2yK3lbDTJ8kxUbG5Phm6k3rDTWXwyGhoYULmIBaK7jJzHal6mvGfWhTepDRn3K+UZ+bZdSj3J857eMaeXv/V2f8i5uqucJqrqMwso69X03NiY6w7flaVlaWWfcvpiYDN9uv603dalpn2hbl5WWbMl1WSRX86XNmB/39/vI+bb0rU2K3PPxxx/z8ccfZ7v8r7/+iqOjI3PmzAGgYsWKnD9/npkzZ6o6FubMmUPz5s0ZO3YsAGPHjuXYsWPMmTMny/vs6UouhdDB+fPnSUhIwNfXl9q1a1OhQgX+/fffLOerWLEiCQkJnD9/XjUtKCiImJiYHK3/zJkzGZ67urpmOs+JEydo3749vXr1wtPTkzJlynDz5s0M5cqWLcuRI0fw9/dn2LBhqunVqlXj5s2bFCtWjHLlyqk9LCxST6hVq1Zl7Nix/Pnnn7i7u7N+/XqNecaOHUtsbKza49PBw9TKmJiaUqKkverh4OiMpZU1/1xMrb/4+HiuXrmES0V3rdtewbUSlwLOq027dPEcLhUrAckdSGXLVeDSRfUy/1w8n+ly31bMmQBsm9ZVm1a0eX1iL1xBmXK9XvSZAGyb1lMrY9usPtGnL+q0zuRtdcmwrZcunsc1pT7Sq+BaSUP5c5Qt70KBlHtBaKrjgIvntC5TXzPqQ5vUh4z6lPON/NoupR7l+M5vGdPSp/1tr6Uur2WjLv8JOJchb25/ftC2Ty5dvICrlnW5uLpx6eIFtWkBF8+r1WXuZ8yf+/t95Hxb+tYmRebi4uJ48uSJ2iP9aG1dnT59mhYtWqhN8/b25vz586oOZ21l/vzzz1zJoIl0LOigbNmyJCQkMH/+fG7fvs2aNWs0XteSnouLCy1btmTQoEGcPXuWCxcu8Omnn2JiYpKj9W/ZsoUVK1Zw48YNJkyYwF9//cXQoUMznadcuXIcPHiQP//8k8DAQAYPHsyjR480lq1QoQJHjhxh27ZtjBgxAoCePXtia2tL+/btOXHiBHfu3OHYsWN8+eWXPHjwgDt37jB27FhOnz7NvXv3OHDgADdu3KBixYoa12FsbEyRIkXUHmkvg9BEoVDQpv0nbNu8jrN/Hifk7m0WzJ6KsbExDbyaqcrN8/2RtX5LVM9bt+vCpb/Ps2PLeh7cv8eOLev5J+ACbdqn/rZw245dOXzgNw4f+I0HIXdZuWQBjyPCaZHmt56zYmhmShFPV4p4JnfymJa2p4inK4Ucki8HcflhFJ4rp6vK31uyEROnklT8+RvMXctg368zDv07c3vWClWZuwtWY9u8HmW+HoSZSxnKfD0I26Z1uDt/VbZzpde24ycp27qXByH3WLFkAY8jwlTbutZvCXN9f1KV927VjojwMFYuXciDkHscPrCXwwf20r5TN1WZNu06E/D3Oban1PF2VR3r9lvY+pAR8n+b1JeM+pJTH9ql1KMc3/ktoz7t79btP2H75rWqulyoqsvmqnLzfH9knd9i1fNWqrpcx8P799ixZR2XA87TOk1dvnz5gjvBN7kTnPyFTtijUO4E38zxT3e26/gJhw7s5dCBvdwPuceKJQt5HBGGd6u2AKzxW6qxLlcsXcj9kHscSqnLDp26qsrEx8dzJ/gWd4JvkZCQQGTkY+4E3yL034c5q8AU+rK/30XO5LpM3s8JCQlERT7mTvBNQv99oFNGfWiT+d1vRi559pg6dSoWFhZqj6lTp+bKdj169IjixYurTStevDgJCQk8fvw40zLa/v7LDXIphA6qVKnCrFmzmD59OmPHjqVhw4ZMnTqVPn36ZDnvypUr+fTTT/Hy8qJ48eL88MMPfP/99zla/6RJk9i4cSOff/45dnZ2rFu3Djc3t0zn+f7777lz5w7e3t6Ympri4+NDhw4diI2N1VjexcWFP/74g0aNGmFoaIivry/Hjx9nzJgxdOrUiadPn1KqVCmaNm1KkSJFePnyJdevX2fVqlVERkZSokQJhg4dyuDBg3O0bVnp0KU7r1/HsWTRbJ4/e0Z5l4qMnzITE1NTVZnHEeEoFKl9Zq5u7owaM571a5azce1yituVZNSYiVRwTa2zeg2b8PRJLFs2rCY6KhJHp9J8O2k6xYrZZTubRXV36hxeo3ruNvNbAO6v3s4/A8diXKIoJg6p95x4efcB59r64OY7FqfPehL3bzhXR/7Iox0HVGWiT1/kYs9RuEwagcuk4bwIvs/FHiOJ+eufnFVcGvUbNuHpkyds3rCK6KgoHJ1K812abY2OiuRxROobS3G7EoybNI0VSxeyb89OrG1sGDh4GHXS/ETRmzresGY5G9euoLhdSb4aM0Gtjj+0jG/k5zapTxn1Iae+tEupRzm+81NG/drfPXj9Oo6li2ap6vL7Kb7p6jIMgzSXn7q6eTByzAQ2rFnGppS6HJmuLoNvBjFx7Jeq56uWLQCgUdOWDB31bbbzpdbl6pS6dGbcpGlqdRkRkfpLY8l1OZWVSxexb4+/xrqMjopk1PBBquf+2zfhv30TlTw8+WHanGxny5gxf+/vd5EzOuoxX2mpyynT5uqUM7+3SaHd2LFjGTVqlNo04yy+RM2JDPf80HDJvaYy7/JeGwql8i3vAidELrly6931oOWmexXz/2/+OgcezesIHwzlO7zBlch/FOT/t0R9aJP6UI+gH3WpD/RlfyfpwUBdQxLzOkKW5LjJPfrQJj3KFc+6UD611zTzS8XfpVYvrus0n0KhYMeOHXTo0EFrmYYNG1K1alXmzk3tsHpzc8YXL15gZGSEo6MjI0eOZOTIkaoyb+63d+/ePZ2yZSX/t2YhhBBCCCGEEEJQp04dDh48qDbtwIED1KhRQ/XjA9rK1K2rfn+33CSXQuQj69at03rpgJOTE1evXn3PiYQQQgghhBBC/xgU0I/RNc+ePePWrVuq53fu3CEgIABra2scHR0ZO3YsDx8+ZPXq1QAMGTKEBQsWMGrUKAYNGsTp06dZvny52q89fPnllzRs2JDp06fTvn17/P39OXToECdPnnxn2yEdC/lIu3bttP6uaPqfvhRCCCGEEEIIod/Onz9P48aNVc/f3Juhb9+++Pn5ERoaSkhIiOr10qVLs3fvXkaOHMnChQspWbIk8+bNU/3UJEDdunXZuHEj48aN4/vvv6ds2bJs2rRJ69+auUHusSDyDbnHQu6ReyzkHrmW9L9FH64V14c2qQ/1CPpRl/pAX/a3PlzPLvdY+G/Rhzapz/dY2F9E86/TvQ8tnwTm2brzioxYEEIIIYQQQgjxQVEY5f+Omw+J1LYQQgghhBBCCCF0JiMWhBBCCCGEEEJ8UPTl5o0fChmxIIQQQgghhBBCCJ1Jx4IQQgghhBBCCCF0JpdCCCGEEEIIIYT4oCiM5FKI90lGLAghhBBCCCGEEEJnMmJBCCGEEEIIIcQHRW7e+H7JiAUhhBBCCCGEEELoTEYsCCGEEEIIIYT4oMg9Ft4vGbEghBBCCCGEEEIIncmIBZFvGJCU1xGyxTnwaF5HyNLdio3yOkKWHK6dyOsI2WJkEJ/XEbKUqDTM6wgfjCQ96G/Xh3OlEv34lkiBMq8jZEnaZO5RKvN/u1Qq8n9GfWiToB/tUh8yCpFd0rEghBBCCCGEEOKDIjdvfL/0o8tRCCGEEEIIIYQQ+ZKMWBBCCCGEEEII8UFRGMqIhfdJRiwIIYQQQgghhBBCZ9KxIIQQQgghhBBCCJ3JpRBCCCGEEEIIIT4oBnIpxHslIxaEEEIIIYQQQgihMxmxIIQQQgghhBDig6IwkBEL75OMWBBCCCGEEEIIIYTOpGNBCCGEEEIIIYQQOpNLIYQQQgghhBBCfFAUhvId+vsktS2EEEIIIYQQQgidyYgFIYQQQgghhBAfFPm5yfdLRiwIIYQQQgghhBBCZ9KxkAMTJ06kSpUq73QdjRo1YsSIEarnzs7OzJkz552uUwghhBBCCCE+JAoDRZ49/ovkUgiS/5ivUqVKln/Af/311wwbNuz9hEpx7tw5zMzMslXW2dmZESNGqHVMfEj27dnJzu2biI6KxMHRmYE+Q3Fzr6y1/JXLAaxcuoj7IXextralQ5f/0bJVO9XrIffusGHtSoJv3SAiPIwBg76gbYcuuZLTf/vGlJylGZBFzquqnHdUOb1btVcrc/rUMTasWcGj0H+xK1GSHn0+pXbdBjrls65fgzJfDcSimjuFShbjfOfPCdt1OPN5GtTEbeY3mLuVJ+7fcIJ9lxGyZKNaGbuOLagw8UtMyzryIjiEoPGzCfM/pFPGN5RKJVvWr+TQ77t49uwp5Su48elno3BwKp3pfGdOHWXj2mWEhf5L8RIl6d7bh4/qNlS9vmPzGs6ePs7DB/coWNAYl4ru9Oz3GaXsHXOcce8ef3ZuS2mXTs4M9PmCSpm2y0usWLqI+/fuYm1jS8fO3WjZOrVdHti/hyOHDxJy7w4AZctVoFffgVRwqZjjbG8olUo2r/fj4P7dPH/2lPIubnz62Qgcs6jH06eOsXHNcrV2l7Yer165hP+2Ddy+dYPoqEhGj/uBj+ro1i7fZU6A/Xt2pByXUTg4OtPfZyhu7p46ZlzJoZSM5VzcGPTZyOy1yTQZu/cZpJbx2pUA/Ldt5PatoJS6/JFaOtZlbp+DQu7dYePalQTfCiIiPIz+g76gbYdPdMqWlj7sb32oS31pk/rw/q0P7zn60CZBf9plfq9LfcgoxBsyYiEblEolCQkJmJubY2Nj817XXbRoUUxNTd/rOvOjk8f/YMXShXTp1gvfeUtxc6/MlAljiAgP01g+7FEoP0wYi5t7ZXznLaVzt54sXzyf06eOqcrExcVR3K4kvfv5YGVlnWs5Vy5dQOduvfCdt4yK7h78MGF0Fjm/oaK7B77zltFJQ86gwKv4TpuEV5MWzFqwDK8mLfCdNpEb16/plNHQzJQn/wRx9cvJ2Spv4mxPzd1LiDp5gZM1O3Br+q9Umv0ddh1bqMpY1q5C1fWzebjOnxPV2/NwnT/VNszBspb2N7/s8N+2nj07NzFwyEimzVqKpZU1U74fycsXL7TOExR4hdnTJ+LV2JuZ81fi1dib2dPHczPoqqrM1SsBeLfuyE8zF/P9lNkkJibyw/ejePXqZY7ynTx2hBVLFvJJt57Mmr8Et0oeTBn/Tab7e8r4sbhV8mDW/CV06dqDZYsX8OfJ46oyV/65RAOvJkyZOovpvgsoWrQYE8eNJvJxRI6ypbVz6wZ279jMp0NGMH32YiytrJk87qss63FWSrvzXbBcY7uLe/US59Ll+HTICJ2zvY+cp1THZW9mzltKRffK/JjJ+SPzjOvZs2MzA4eMYNrsJSkZR2UrY8Mm3vguWEHDJt7MmjZBLeOrV69wLl2WgW9Zl+/iHJR8rixB734+WObSuRLy//7Wl7rUhzapD+/foAfvOXrSJkE/2mV+r0t9yChEWv/5joV+/fpx7Ngx5s6di0KhQKFQ4Ofnh0Kh4Pfff6dGjRoYGxtz4sSJDJdC9OvXjw4dOjBp0iSKFStGkSJFGDx4MK9fv87Wup8/f06fPn0wNzenRIkS+Pr6ZiiT/lKIiRMn4ujoiLGxMSVLlmT48OFA8qiLe/fuMXLkSNV2AERGRtK9e3fs7e0xNTXFw8ODDRs2qK2jUaNGDB8+nNGjR2NtbY2dnR0TJ05UKxMTE4OPjw/FixenUKFCuLu7s2fPHtXrf/75Jw0bNsTExAQHBweGDx/O8+fPs1UP2bFrxxaatmhFc+/WODg6MdBnKDa2xdi/d5fG8r/v3YVt0WIM9BmKg6MTzb1b06T5x+zcvllVpnwFV/oNHEIDryYUMDLKlZy7VTnbYO/oxECfYdjYFuP3vf5Z5ByGvaMTzb3b0KT5x/hv35S6TP+teFatQeeuPbF3cKJz1554eFZjj/9WnTJG/H6cGxPm8GjnwWyVd/L5H69CQrn21U88u36b+yu2ct9vO2VGDVCVKT2sL48P/UnwjCU8D7pN8IwlPP7jDM7D+uqUEZI79H7z30ynbn34qK4Xjs5lGDrqO+Li4jh5THv233ZtoXLVGnTs2ptSDk507Nobd8/q/Oa/RVVm3GRfGjdrhYNTaZzLlOPzEWN5HBHG7VtBOcrov2MLzVp8TPOWye3y08FDsS1ajP2/aW6X+/fupmixYnw6OKVdtmxN0+Yf45+mXY4a/R2t2rSnTNly2Ds48vnwr1AmKfnn0sUcZXtDqVSyx38Lnbv1pna9hjg6l2HYqLHExcVx4pj2ESV7/LfiWbU6nbr2wt7BiU5de+HhWZ09aeqxWo3ayaNn6jXUupz8kHP3js00adGKZt5tsHd0ZoDPMGxsi2o9LjPL+Jv/Fjp1603tel4pGb9NyZhJm/RPbpOduvaiVJqMv6Wry+59BlG7nleOMqX3Ls5B5Su40nfgZ9T3aopRLp0r9WF/60Nd6kOb1Jf3b314z9GHNgn60S71oS71IWN+Z2CoyLPHf9F/vmNh7ty51KlTh0GDBhEaGkpoaCgODg4AjB49mqlTpxIYGEjlypq/eT18+DCBgYEcOXKEDRs2sGPHDiZNmpStdf/f//0fR44cYceOHRw4cICjR49y4cIFreW3bt3K7NmzWbx4MTdv3mTnzp14eHgAsH37duzt7Zk8ebJqOyC5Z7d69ers2bOHK1eu4OPjQ+/evTl79qzasletWoWZmRlnz55lxowZTJ48mYMHk0/+SUlJfPzxx/z555+sXbuWa9euMW3aNAwNDQG4fPky3t7edOrUiX/++YdNmzZx8uRJhg4dmq16yEp8fDzBt25QpWoNtelVqtXgeuAVjfMEXb9GlWrq5atWq0nwzSASEhJyJZfmnEF4Vq2ZLmdNrgde1TjPjetXqVItfflaajlvXL9KlXTLrFqtltZl5jbL2lWIOHRKbVrEgRNYVHdHUSD5aiqr2lV4fOikWpnHB09gVaeqzusNDwslJjpKrT6NjAri5l6FIC37HeDG9Ssa9kGtTOd5kdIJZm5eJNv5VO0yXTurUrWG1n0TFHg1QzuuWr0GtzJpl6/j4khMTMDcvHC2s6UV9iilHtPkNDIqSCV3zyzq8arGthz0jtrdu8qZev5QL+NZrWamy9UkXJUxfZvMeUbPLNqkLt7VOehdyO/7W1/qUj/aZP5//wZ9ec/J/20S9KVd5u+61IeMQqT3n7/HgoWFBQULFsTU1BQ7OzsArl+/DsDkyZNp3rx5pvMXLFiQFStWYGpqSqVKlZg8eTL/93//x5QpUzAw0N5v8+zZM5YvX87q1atV61i1ahX29vZa5wkJCcHOzo5mzZphZGSEo6MjtWrVAsDa2hpDQ0MKFy6s2g6AUqVK8fXXX6ueDxs2jP3797NlyxY++ugj1fTKlSszYcIEAMqXL8+CBQs4fPgwzZs359ChQ/z1118EBgZSoUIFAMqUKaOa9+eff6ZHjx6qezuUL1+eefPm4eXlxS+//EKhQoUybEtcXBxxcXFq017HxVHQ2DhD2adPYklKSsLS0kptuqWlFTHR0RrrKjo6iqoayicmJvLkSSzW1rl/SYu2nBaWVsRER2nNWSWLnDHRUVhYpVumlfZl5jbj4rbEhT1Wm/Y6PBIDIyMK2loR9ygCYztb4sIi1crEhUVibFdU5/XGRCcvz8JSfaiehaUVj8MfZTJflIZ5rLXWl1KpZNWyBbi6VcbRuYzGMppo3d9WVkRrWVdMdHSGfZlVu1y9cinWNrZ4Vq2e7Wzq64xKWU/GeoyI0D40PCY6Csv0Wd9hu3tXOZP3U2KGNmGZyXGpTXRKm0yf0dLSmoiIzNvk+6jLd3UOehfy+/7Wl7rU1zaZ396/QY/fc/JZm0xer362y/xUl/qQUR8o/qMjB/LKf37EQmZq1KiRZRlPT0+1eyDUqVOHZ8+ecf/+/UznCw4O5vXr19SpU0c1zdraGhcXF63zfPLJJ7x8+ZIyZcowaNAgduzYkWUPZGJiIj/++COVK1fGxsYGc3NzDhw4QEhIiFq59CMySpQoQXh4OAABAQHY29urOhXSu3DhAn5+fpibm6se3t7eJCUlcefOHY3zTJ06FQsLC7XH0sULMt0WFOonB6Uyw6R0xdOVR5k8nXd7kkm/XpRKHXOmKUP6bc98mblOqVR//mblaadrKpN+WiZOHDlAry4tVI83bTvDdma149G2DzTPs/zX2YTcDWbE6AnZzppuZdleF2jal5qnA2zfspETx/7gm3GTKFiwYLbiHD9ykJ6dW6oeiYlv6jFDRWbjWNB0zOVOw3vfOTXspizb0fEjB+jV2Vv1SExM1LysbGTUfAy/m4P4XZyD3pY+7G+Na8pndamvbTI/vn/r63tOfmuToL/tMj/WZVbrzI8ZhXjjPz9iITPZ/TUGTbI6CSpz8AfXGw4ODgQFBXHw4EEOHTrE559/zs8//8yxY8e0Xifl6+vL7NmzmTNnDh4eHpiZmTFixIgM94FIP79CoSApKQkAExOTTHMlJSUxePBg1f0e0nJ01HzH47FjxzJq1Ci1abfvR2osW7iIBQYGBhl6aGNjo7FI1zP7hpWVdYZvjWNjYpJHdRTJ/tDDnHiTM8N6Y2MyfJuRNmeG7VLltADAUkOZJzHal5nb4sIeZxh5ULCoNUnx8byOjEku8+gxxna2amWMi1lnGOmQmRof1aeci5vqeUJ8PJD8DYaVdeqyY2NjMnwLklZyfam3JW1tZfmvszl/9hSTps3HxrZYtrNCJu0yJibDNwyp2TJ+0xAbG62xXe7ctomtm9cx+ceZOJcum+1cNT+qR/k0vyARn1KP0dGRWKX5tiI2JibDN0PqWTW1Te3HXE69r5zJ+8lQY71r20+pGetTXkObjE7fJmMyjkRJn1HT+Si36vKNd3UOyg36sL/Tyq91qa9tMj++f+vre05+a5Ogv+0yP9alPmUUIj0ZsUDy5Qxveldz6tKlS7x8mXpX3zNnzmBubp7pJQ0A5cqVw8jIiDNnzqimRUdHc+PGjUznMzExoV27dsybN4+jR49y+vRpLl++rHU7Tpw4Qfv27enVqxeenp6UKVOGmzdv5mgbK1euzIMHD7Rmq1atGlevXqVcuXIZHtq+ZTU2NqZIkSJqD02XQUByp0fZchW4dPG82vRLFy/gWtFd4zwurm5cuqh+v4qAi+cpW96FAgXeTX9ack4XDTnP41qxksZ5KrhW0lD+nFrOCq6VuBSgXibg4jmty8xtMWcCsG1aV21a0eb1ib1wBWXKNzzRZwKwbVpPrYxts/pEn87+DQdNTE0pUdJe9bB3dMbSypp/Lp5TlYmPj+falQBctOx3gAqu7vyjoU7TzqNUKln2y2zO/nmcCT/OobhdyWznfONNuwzI0M4uaN03LhUrZSz/93nKpWuXO7ZuZPOGtUyYMp1yFbSPYtIkfT06qOoxtU7i4+O5euVSFvWYsd0l12PutLv3lVPb+eOfi+czXa6mjPZaMl7LRsZ/As6pTUvfJnPDuzoH5QZ92N9p5de61M82mT/fv/XzPSf/tUnQ13aZP+tSnzLqA4WBQZ49/ov+m1udjrOzM2fPnuXu3bs8fvxY9U19drx+/ZqBAwdy7do19u3bx4QJExg6dGim91cAMDc3Z+DAgfzf//0fhw8f5sqVK/Tr1y/T+fz8/Fi+fDlXrlzh9u3brFmzBhMTE5ycnFTbcfz4cR4+fMjjx8nfFJcrV46DBw/y559/EhgYyODBg3n0SPv1bZp4eXnRsGFDOnfuzMGDB7lz5w779u1j//79AIwZM4bTp0/zxRdfEBAQwM2bN9m1axfDhg3L0Xoy067jJxw6sJdDB/ZyP+QeK5Ys5HFEGN6t2gKwxm8pc31/UpX3btWOiPAwVixdyP2Qexw6sJfDB/bSoVNXVZn4+HjuBN/iTvAtEhISiIx8zJ3gW4T++1DnnG07fsLhA79x+MBeHoTcY8WSBTyOCKNFyu9vr/VbojHnyqULeRByj8MpOdt36qYq06ZdZwL+Psf2Let5cP8e27es55+AC7Rpr9tvdhuamVLE05Uinq4AmJa2p4inK4UcSgDg8sMoPFdOV5W/t2QjJk4lqfjzN5i7lsG+X2cc+nfm9qwVqjJ3F6zGtnk9ynw9CDOXMpT5ehC2Tetwd/4qnTJC8qiZ1u27sn3LWs7+eZyQu7dZOOcnjI2Nqe+Veu+T+b4/sM7vV9Xz1u26cOniOXZuXcfD+/fYuXUdlwPO07p96u80L/tlFieOHuDL/xtPIVNToqMjiY6OzHDfj6y07/gJh37fy6ED+7gfco/l6dvlyqXMmTlVVb5lq7bJ7XLJopR2uY9DB/bRPk273L5lI+tWr2ToiP+jWDE7oqOiiI6KUuvAzAmFQkGb9p+wbfM6VT0umD0VY2NjGng1U5Wb5/sja/2WqJ63bteFS3+fZ0dKu9uhanep9fjy5QvuBN/kTnByZ2X4o1DuBN/U6Wcc32XOth27phyXv/Eg5C4rlyzgcUS46rjMScbW7T9h++Y0bVKVMbVNzvP9kXV+i1XPW6kyJrfJHVsytsn0dRmmY12+i3NQ8rkyOVtCQgJRkY+5E3yT0H8f5ChbWvqwv/WhLvWhTerL+7c+vOfoQ5sE/WiX+lCX+pBRiLT+m91X6Xz99df07dsXNzc3Xr58ycqVK7M9b9OmTSlfvjwNGzYkLi6O//3vfxl+qlGbn3/+mWfPntGuXTsKFy7MV199RWxsrNbylpaWTJs2jVGjRpGYmIiHhwe7d+/GxiZ5GOnkyZMZPHgwZcuWJS4uDqVSyffff8+dO3fw9vbG1NQUHx8fOnTokOl6NNm2bRtff/013bt35/nz55QrV45p06YBySMajh07xnfffUeDBg1QKpWULVuWbt26ZbHU7KvfsAlPnzxh84bVREdF4ejkzLhJ0yhWLPlGldFRkUREhKvKF7crwbhJU1m5dBH79vhjbWPDwMHDqJPm54mioyIZNXyQ6rn/9k34b99EJQ9Pfpg25y1zrkrJWZrvJk1Xy/k4zY3JknNOY8XShezbs1NjTlc3d0aNGc+GNcvZuHYFxe1K8tWYCVRwdcuw/uywqO5OncNrVM/dZn4LwP3V2/ln4FiMSxTFJKWTAeDl3Qeca+uDm+9YnD7rSdy/4Vwd+SOPdhxQlYk+fZGLPUfhMmkELpOG8yL4Phd7jCTmr390yvhG+849eB0Xx7JffHn+7BnlXCoybvIsTNLc1+RxRBgKg9RLj1wqejBi9AQ2rl3GxrXLsLMrxcgxkyjvktrDf2DvTgAmjlW/fOfzEWNp3KxVtvPV92rMk6dP2LQ+pV06O/P9pKkUK568v6OiozK0y+8nT2XFkoXsTWmXnw4eSt36qT/XuO83fxIS4pnx00S1dXXr0YfuvfplO1taHbp05/XrOJYsms3zZ88o71KR8VNmpqvHcBSK1I7NN+1u/ZrlbFy7nOJ2JRk1ZqJauwu+GcSEsSNUz/2WLQSgUdOWDBs1Nt/krNewCU+fxLJlw2qioyJxdCrNt2mOy5xl7MHr13EsXTRLlfH7Kb4Z2qRBmsvhXN08GDlmAhvWLGNTSsaRGupy4tgvVc9XLUu+50yjpi0ZOurbbOd7F+eg6KjHfKXlXDll2txsZ0svv+9vfalL/WmT+fv9G/TgPUdP2iToU7vMv3WpDxnzu7THqnj3FEpdLvYXAPTr14+YmBh27tyZ11E+CNdu/ZvXEbJFqQe3wLlbsVFeR8iSw7UTeR0hW4wM4vM6QpYSlYZ5HeGDoQ/HtwHZH1WXV/ShHgEU5P+PQEl6MLjUEN0uJ33fEpT5//s0Q0X+r0t9aJOgH+dKfVCpXImsC+VTfzetn2frrnb4ZNaFPjD5/wwrhBBCCCGEEELkgIH83OR7pR9djnooJCRE7ecX0z/S/9yjEEIIIYQQQgihj2TEwlvw8/PT+lrJkiUJCAjI9HUhhBBCCCGEEELfScfCO1KgQAHKlSuX1zGEEEIIIYQQ4j9Hbt74fsmlEEIIIYQQQgghhNCZjFgQQgghhBBCCPFBURjId+jvk9S2EEIIIYQQQgghdCYdC0IIIYQQQgghhNCZXAohhBBCCCGEEOKDIjdvfL9kxIIQQgghhBBCCCF0JiMWhBBCCCGEEEJ8UAwMZcTC+yQjFoQQQgghhBBCCKEzGbEghBBCCCGEEOKDIvdYeL9kxIIQQgghhBBCCCF0Jh0LQgghhBBCCCGE0JlcCiHyjSQ96edSoMzrCFlyuHYiryNk6b5bg7yOkC0bRh/J6whZqlqzeF5HyFIL9/C8jpAtBiTldYQs6cM5yFCRmNcRsuVVknFeR8hSAT2oS315/9aHdqkk/w/d1ofzJECi0jCvI2SpgCIhryN80BQG+nFu+lBIbQshhBBCCCGEEEJnMmJBCCGEEEIIIcQHRW7e+H7JiAUhhBBCCCGEEELoTDoWhBBCCCGEEEIIoTO5FEIIIYQQQgghxAdFLoV4v2TEghBCCCGEEEIIIXQmIxaEEEIIIYQQQnxQZMTC+yUjFoQQQgghhBBCCKEzGbEghBBCCCGEEOKDojCQ79DfJ6ltIYQQQgghhBBC6Ew6FoQQQgghhBBCCKEzuRRCCCGEEEIIIcQHxcBQbt74PsmIBSGEEEIIIYQQQuhMOhbesX79+tGhQ4dMyzg7OzNnzhzV80ePHtG8eXPMzMywtLTUab1KpRIfHx+sra1RKBQEBATotJzsatSoESNGjHin6xBCCCGEEEKI7FAYKPLs8V8kl0LkA+fOncPMzEz1fPbs2YSGhhIQEICFhQVHjx6lcePGREdHZ7ujYf/+/fj5+XH06FHKlCmDra3tO0r/fimVSjav9+Pg/t08f/aU8i5ufPrZCBydSmc63+lTx9i4ZjmPQv/FrkRJevT5lI/qNlQrs3/PDvy3byQ6KgoHR2f6+wzFzd0zxxn37dmZspxIHBxLM8BnKG7ulbWWv3o5gJVLF3E/5A7W1rZ06PI/vFu1z5B/w5oVavlr122Q42xvKJVKtqxfyaHfd/Hs2VPKV3Dj089G4ZBFPZ45dZSNa5cRFvovxUuUpHtvH7V63LF5DWdPH+fhg3sULGiMS0V3evb7jFL2jjnKZ12/BmW+GohFNXcKlSzG+c6fE7brcObzNKiJ28xvMHcrT9y/4QT7LiNkyUa1MnYdW1Bh4peYlnXkRXAIQeNnE+Z/KEfZNOnUpDCNa5piZmJA8P3X+O2O5WF4QqbzmBZS8EnzItSsVAjTQgZERCewft8TLt2IA2D218UoapXxFH3wzHNW7Y7NUT6lUsmFQwu4fnYzcS+fUMyxMvXaj8farny25r8V8Bt/bPgKJ7emePddqPba1dPr+efYcl48jcCqeDnqtP2WEqVr5Chf2pyb16/kUMrxXc7FjUGfjcxeu0xzfHfvM0itXV67EoD/to3cvhVEdFQko8f9SK06uh0/+nB879uzk53bN6VkdGZgFhmvqDLeVWVs2aqd6vWQe3fYsHYlwbduEBEexoBBX9C2Qxed8wHs3ePPjm2biY6KxNHJmYE+n1Mp04yXWLH0F0Lu3cXaxpaOnbvxceu2qtdPnzrBlk3reRT6kISEREqWKkX7jp/QuGnzt8qpVCrZun4Fh9OcKwd8NgoHpzKZznf21FE2rV1GWOhDipcoxf96D6JWXS/V6wf27uDg3p1EhIUCYO9Yms7d+1G1Rh2dMub390V9yakPx3dOt/Xq5QD8li7kfshdrKxt6NClu8aMWdVxTuhDPUL+/ywE+nE+F+INGbGQDxQtWhRTU1PV8+DgYKpXr0758uUpVqyYTssMDg6mRIkS1K1bFzs7OwoUyPgHyuvXr3XOnFd2bt3A7h2b+XTICKbPXoyllTWTx33FyxcvtM4TFHiFWdMm4dWkBb4Llif/O20iN65fU5U5dfwPVi5dQOduvZk5bykV3Svz44QxRISH5SjfSdVyeuE7bxkV3T34YcJorcsJexTKDxO+oaK7B77zltGpW0+WL57P6VPH0uS/im9K/lkLlmnMn1P+29azZ+cmBg4ZybRZS7G0smbK9yOzrMfZ0yfi1dibmfNX4tXYm9nTx3Mz6KqqzNUrAXi37shPMxfz/ZTZJCYm8sP3o3j16mWO8hmamfLknyCufjk5W+VNnO2puXsJUScvcLJmB25N/5VKs7/DrmMLVRnL2lWoun42D9f5c6J6ex6u86fahjlY1tL+Bp0dbRqY83E9M1btjmX8oghiniXxTX8bChXU3lttaAjf9LehqJUhc9dH839zwlm+M5boJ4mqMuMXPeaLqY9Uj6krHgPw15Wc1SXApWPLuHzCj3odvqfjsC2YmBdl77IBvI57luW8T6Mfcva3Gdhp6CwIvrSX07unUrXJEDoN34Gdcw32rfDhWfS/Oc4IsHPrevbs2MzAISOYNntJyvE9KlvHd8Mm3vguWEHDJt7MmjZB7fh49eoVzqXLMnDICJ1yvaEPx/fJ43+wYulCunTrhe+8pbi5V2ZKJuey5IxjcXOvjO+8pXTWkDEuLo7idiXp3c8HKytrnXKldeLYEZYvWcQn3Xowe/5i3Cp5MHn82EwzTh7/LW6VPJg9fzFdunZn2eIF/HnyuKqMeeHCfPK/nkz3nc/cRUtp2sybebNn8PeFc2+Vdde2dfy2cxP9h4zip1nLsLCy4ccszpU3Aq8wZ/oEGjT2ZsZ8Pxo09mZOunOljU1RevQdwk9zlvHTnGW4e1bj5x/Gcv/e7RxnzO/vi/qSUx+O75xua9ijUH6cMIaK7pWZOW8pnbv1YsXieekyZl3HOaEP9fhGfv8spA/ncyHSko6FXLJ161Y8PDwwMTHBxsaGZs2a8fz5c9XrM2fOpESJEtjY2PDFF18QHx+vei3tpRDOzs5s27aN1atXo1Ao6NevH40bNwbAyspKNS0z/fr1Y9iwYYSEhKBQKHB2dgaSL1cYOnQoo0aNwtbWlubNm3P37t0Ml0rExMSgUCg4evSoatq1a9do1aoV5ubmFC9enN69e/P48WO19SYlJTF69Gisra2xs7Nj4sSJOa7HzCiVSvb4b6Fzt97UrtcQR+cyDBs1lri4OE4c0/6t8x7/rXhWrU6nrr2wd3CiU9deeHhWZ4//FlWZ3Ts206RFK5p5t8He0ZkBPsOwsS3K73v9c5Rx944tNG3RiubebbB3dGKgzzBsbItpXc7ve3dhW7QYA32GYe/oRHPvNjRp/jH+2zelLtN/K55Va9C5a0/sHZzo3LUnHp7V2OO/NUfZ3lAqlfzmv5lO3frwUV0vHJ3LMHTUd8TFxXHy2EGt8/22awuVq9agY9felHJwomPX3rh7Vue3NPU4brIvjZu1wsGpNM5lyvH5iLE8jgjj9q2gHGWM+P04NybM4dFO7XnScvL5H69CQrn21U88u36b+yu2ct9vO2VGDVCVKT2sL48P/UnwjCU8D7pN8IwlPP7jDM7D+uYoW3ot65nhf/QZ56+94kF4Aou3RlPQSEFdTxOt83hVTx7dMHttFDdDXhMZk8iNe68JeZQ6yuHpiyRin6U+qroUIiwygcA7OesQVCqVXD65mqpNhlDavQXWdhVo3G0aCfGvuHVxT6bzJiUl8sfG/6N682EUsbbP8Po/J/xwqdkZ11qfYFW8LHXbfYu5hR3XzmzIUcY3OX/z30Knbr2pXc8r5fj+NuX4zqRd+ie3y05de1EqzfGdtl1Wq1Gb7n0GUbuel9blZIc+HN+7VBlb4+DoxECfodjYFmP/3l1ZZByKg6MTzb1b06T5x+zcvllVpnwFV/oNHEIDryYUMDLSKVda/ju20qzFx7RomZzx08FfYFu0GPt+262x/P69uylarBifDv4CB0cnWrRsTdPmLdUyelSuQp269XFwdKJEiZK07dAZ59JlCLx6ReecSqWSvf5b6JjmXPmF6lx5QOt8e3dt1niu3Oufmrf6R/WpWrMOJUs5UrKUI//rM5hChUy4GZSzP5T04X1RX3Lqw/Gd0209sNcf26LFGOAzDHtHZ5p5t6FJ81bs2p46mi87dZyzjPm/HkE/Pgvpw/k8v1MYGOTZ47/ov7nVuSw0NJTu3bszYMAAAgMDOXr0KJ06dUKpVAJw5MgRgoODOXLkCKtWrcLPzw8/Pz+Nyzp37hwtW7aka9euhIaGMnfuXLZt2wZAUFCQalpm5s6dy+TJk7G3tyc0NJRz51K/sVm1ahUFChTg1KlTLF68ONvb5+XlRZUqVTh//jz79+8nLCyMrl27qpVbtWoVZmZmnD17lhkzZjB58mQOHszeH4bZEfYolJjoKDyrpX5zamRUkErungQFav/weOP6VTyr1lSbVqVaTYICk3uX4+PjCb51gyrpynhWq5npctNLXk6QxnVdD7yqcZ4b169SpVr68rUIvhlEQkJCapl0y6xarZbWZWYlPCylHtMs08ioIG7uVbKoxysatq1WpvO8SOlcMzcvolPW7LKsXYWIQ6fUpkUcOIFFdXcUKaN1rGpX4fGhk2plHh88gVWdqjqvt6iVIZaFDbl865VqWkIiXL8bR3nHglrnq+ZaiFv3X9O3nQULxxZn6vCitPMyR6FlkIOhIdSrYsKxC9q/RdHmadQDXj6NwL58vdTlFShIiTI1Cbt3MdN5/z60EBMza1xrZRwmmZjwmscPr6otF8C+Qr0sl6tJuOr4Tt8uc358e2bRLnWhD8d36rlMfXRJlWo1uK6lPoKuX6NKNfXyVavVVMuYm1QZ062zStXqWrf5euA1qlStrp6xek1u3byhMaNSqeRSwN88fPCASu4eOmcND/uXmOhIKletpZr25lx5I4tzZdp5ADyrfaR1nqTERE4dO0Tcq1dUcK2Uo4z5/X1RX3Lq1/Gd/W0Nun5V7ZyanLFmhoyZ1XHOM+bvenwjv38W0ofzuchdixYtonTp0hQqVIjq1atz4sQJrWX79euHQqHI8KhUKfU9xM/PT2OZV69eaV3u25J7LOSC0NBQEhIS6NSpE05OTgB4eKR+mLGysmLBggUYGhri6upK69atOXz4MIMGDcqwrKJFi2JsbIyJiQl2dnYAWFsnD1UqVqxYtu6xYGFhQeHChTE0NFQt441y5coxY8YM1fO7d+9mubxffvmFatWq8dNPP6mmrVixAgcHB27cuEGFChUAqFy5MhMmTACgfPnyLFiwgMOHD9O8ecZrXOPi4oiLi1Ob9joujoLGxlpzxERHAWBpqT50y8LSiogI7UMeY6KjsLSyUptmaWWlWt7TJ7EkJSVikW65lpapZbIjeTlJWFqqr8sik+VER0dRJV15S0srEhMTefIkFmtrG2Kio7BIl9/CKmfZ0oqJjkzJlbEeH4c/ymS+KA3zWGvNoVQqWbVsAa5ulXF0zvx65LdlXNyWuDD1ETSvwyMxMDKioK0VcY8iMLazJS4sUq1MXFgkxnZFdV6vZeHkvtnYZ0lq02OfJWFraah1vmLWhthaGvPnpRf8vCoKOxtD+razxMAAdh7JeHlCjYrJ92E4/nfOOxZePI0AwKSwjdp0E3ObTC9ZeHT3b4LObaPziJ0aX3/1IhplUiIm5hmX++LpY43zZCY6pV2mP74tLa2JiMi8XWZ2fOcWfTi+tWVMPpdFa81YNYuMuemJtoxWVkRr2WaN+1hDxufPnzGgdzfi4+MxMDBgyBdfZviQnRNv9oGmc2Vmw+yTz5VZt5OQu8GM+3oI8a9fU8jEhK+/+wl7x8yv7daWMb++L+pLTv05vnO2rTHRURq2yZrExESePonFKiVjbp1D9aEe38jvn4X04XyuD/TlJoqbNm1ixIgRLFq0iHr16rF48WI+/vhjrl27hqNjxntzzJ07l2nTpqmeJyQk4OnpySeffKJWrkiRIgQFqY+UKVSo0LvZCKRjIVd4enrStGlTPDw88Pb2pkWLFnTp0gWrlJNgpUqVMDRM/SOjRIkSXL58OU+y1qiR8w9ZFy5c4MiRI5ibm2d4LTg4WK1jIa0SJUoQHh6ucZlTp05l0qRJatM+G/YVnw//WvX8+JGDLF7gq3r+7cTkA0iR4WtdJQqyOnGov65UZlxO+sUqlRomZkOGfEplpotJX15J8kiXtFPTb58yi2WmdeLIARYvnKl6PnbC9JT1piuYXCmZLkvztmmeZ/mvswm5G8yUGQs1vp7rUkYIqbzJlXa6pjLpp2WirqcJA9pbqJ7PXK35g4QCIJPFKhQKnjxPZPnOWJRKuPtvPFZFntK6gbnGjgWvGqZcuhlHzNMkDUtTd/Pibk5sn6B63rL/rymZ0u87tO7v13HPOLLx/2jQeQqFzKw0lkm7LekXm53GefzIAZakOb7HTtTcLpXZOL41Hx/v5sNEfju+taw0fUQdM767D2SazreZ7bOM7TdjRhMTU+YsWMLLly/559LfrFj6C8XtSuBRuUq2Mp04coClC39WPf9mwoxMsma+rAx1qmH7SpZyZMa8lTx//oyzp46ycPaPTJw2P9POBX15X9SXnBnWpAfHd063VVOdayiVYZlvcw7Nj/Wot5+F9OB8Lt7erFmzGDhwIJ9++ikAc+bM4ffff+eXX35h6tSpGcpbWFhgYZH6eXTnzp1ER0fTv39/tXIKhSLDl8zvknQs5AJDQ0MOHjzIn3/+yYEDB5g/fz7fffcdZ8+eBcAo3TVMCoWCpKSs/0B4F9L++gSAQco1QMo0f1ylvf8DJN87oW3btkyfPj3D8kqUKKH6f062c+zYsYwaNUpt2q376j2wNT+qR3mXihlyRUdHYpWm1zU2JiZDb3tallYZe5JjY6JV3ygVLmKBgYFhxjKx0Rl6ijOTvByDDN+6xcbGZOjdfsNKY7YYDA0NKVzEQmv+JzHal5lejY/qU87FTfU8IaUeY6KjsLJO/bWQ2NiYDN8mpZWcQ/0b/9jY6AzfzEHyG+n5s6eYNG0+Nra63YA0J+LCHmcYeVCwqDVJ8fG8joxJLvPoMcZ26r+OYlzMOsNIh8z8HfiK4Pup9zgoUCD5jdrC3EDtj/4i5gYZRjGkFfM0kcRE9T6NhxEJWBY2xNAQElPv4YiNpSHuZY2Zs17zNxTpObk1pphDaidfYkJy3hdPH2NaJHVfvHwemWG0wRtPIu/zNPohv6/6TDVNqUzenqVjK9Ht632YWdihMDDMMDrh1bNITLUsN62aH9WnvIZ2GZ2+XcZEZ/imKi1LK+uMx1xMjMZ2+Tby6/GtKaOmc5m2+rDSUn/JGXP/EqYiqnpUb8+xMdrPt5r2cUxsxowGBgaUKFkKgDJly3E/JIStmzdku2OhRro2GR+ffOykP1c+iY3OdP9o3Kca9kEBIyPsSibfu6RseVeCbwayd9cWfIaO1rpsfXlf1Jecb+jP8Z2zbdV8fozOMmPaOs55xvxZj/r2WUgfzuf6IC9HLGganW1sbIxxutHZr1+/5sKFC3zzzTdq01u0aMGff/6ZrXUtX76cZs2aqUbOv/Hs2TOcnJxITEykSpUqTJkyhapVq+qwNdkj91jIJQqFgnr16jFp0iQuXrxIwYIF2bFjR64su2DB5Gu1E9P+tZFLihZN/mMsNDRUNS3tjRwBqlWrxtWrV3F2dqZcuXJqj/QdFdllbGxMkSJF1B7pL4MwMTWlREl71cPB0RlLK2v+uXheVSY+Pp6rVy7hUtFd67oquFbiUsB5tWmXLp7DpWLydUhGRkaULVeBSxfVy/xz8Xymy00veTkuGZZz6eJ5XCtqvm62gmslDeXPUba8i+qXPDTlD7h4Tusy00tfj/aqeky990Z8fDzXrgRkUY/uanX/JmvaeZRKJct+mc3ZP48z4cc5FLcrma2MbyvmTAC2TeuqTSvavD6xF66gTLmuMPpMALZN1e8HYNusPtGns38/gFevlYRFJaoeD8MTiHmaiHu51GFlhobg6mzMzRDtN1m8ee81xW0M1b51KGFTgOgniaQ/zL2qmfLkeRIBQdm7Jq6gsTkWtk6qh1XxcpgULsqDm6lvTokJrwm9fY7iTprfXCyLlqHLyF10/nKH6uFUsQkly3xE5y93YGZhh2GBgtiWqsTDm+pveg9u/ql1uWlpb5fqx/e1bBzf/wSo3/k/fbvMDfn1+M6YMeO57NLFC7hqqQ8XVzcuXbyQbv3n1TLmptSM6dd5Qes2u1Z0IyB9+b/PU658hSwyKlV/PGSHiakpdiXtVQ97x9JYWtmonSsTUs6VFbI8V6q3yX8u/pXpPClxs8yrL++L+pLzDX0+vjPbVhfXShnetwOykTFtHec8Y/6sR337LKQP53ORualTp6pGFrx5aBp98PjxYxITEylevLja9OLFi/PokfbLct4IDQ1l3759qtEOb7i6uuLn58euXbvYsGEDhQoVol69ety8efPtNiwT0rGQC86ePctPP/3E+fPnCQkJYfv27URERFCxYsWsZ84GJycnFAoFe/bsISIigmfPsv6JuOwyMTGhdu3aTJs2jWvXrnH8+HHGjRunVuaLL74gKiqK7t2789dff3H79m0OHDjAgAED3klnhzYKhYI27T9h2+Z1nP3zOCF3b7Ng9lSMjY1p4NVMVW6e74+s9Vuiet66XRcu/X2eHVvW8+D+PXZsWc8/ARdo0z71OqS2Hbty+MBvHD7wGw9C7rJyyQIeR4TTIs1v/2ZH246fpCxnLw9C7rFiyQIeR4SplrPWbwlzfVPvVeHdqh0R4WGsXLqQByH3OHxgL4cP7KV9p26qMm3adSbg73NsT8m/XZVft98dVigUtG7fle1b1qrqceGcnzA2Nqa+V+r9MOb7/sA6v19Vz1u368Kli+fYuXUdD+/fY+fWdVwOOE/rNPW47JdZnDh6gC//bzyFTE2Jjo4kOjoyQ49tVgzNTCni6UoRT1cATEvbU8TTlUIOySNkXH4YhefK1BE095ZsxMSpJBV//gZz1zLY9+uMQ//O3J61QlXm7oLV2DavR5mvB2HmUoYyXw/Ctmkd7s5flbMKTGf/qee08zKnhlsh7IsVYHBnS17HK/nzUurPSg3uYknXFoVVzw/99RxzUwN6ty6CnY0hVVyMadfInINnn6stW6GAhtVMOPH3C3Qd5KRQKPCo34eAI4u5c+UgUY9ucHTLWAoYFaJc1Taqckc2jeGvfclDlwsYGWNtV0HtYWxSGCNjM6ztKmBYILmzs3KDflw/t5Xr57YRHRbMn7un8iwmlIq1/6dTztbtP2H75jTtUnV8p7bLeb4/ss4v9cazrVTHd3K73LElY7t8+fIFd4Jvcic4+c007FEod4Jv5vjn6PTh+G7X8RMOHdjLoQN7uR9yjxVLFvI4IgzvVm0BWOO3VGPGFUsXcj/kHodSMnbolHpz3vj4eO4E3+JO8C0SEhKIjHzMneBbhP77UKeM7Tt24eDvezl0YB/3Q+6xbMkiHkeE0zIl4+qVy5g9M/Xa0Zat2hIRHs7yJYtSMu7j0IF9ahm3blpPwN/neRT6Lw/uh+C/fQtHDh/Eq3FTnTJCcpts1f4Tdm5Zw19/HiPk7m0Wzfkx5VyZ+lO2C3ynsD7NufLjdp/wz8Vz+G9dy8P79/DfupbLAedp1T4174ZViwm8conwsFBC7gazcfVirl65SP1GLcgJfXhf1Jec+nB8Z7Wta/2WMM/3R1X5Fq3ap2RcwIOQuxw+8Bt/HNhLu06p5+js1HHOMub/egT9+CykD+dzod3YsWOJjY1Ve4wdO1Zr+YyX0GXvsk4/Pz8sLS3p0KGD2vTatWvTq1cvPD09adCgAZs3b6ZChQrMnz9fp+3JDum+ygVFihTh+PHjzJkzhydPnuDk5ISvry8ff/wxmzZtynoBWShVqhSTJk3im2++oX///vTp00frr0roYsWKFQwYMIAaNWrg4uLCjBkzaNEi9cNNyZIlOXXqFGPGjMHb25u4uDicnJxo2bKl6lKK96VDl+68fh3HkkWzef7sGeVdKjJ+ykxMTE1VZR5HhKNQpOZydXNn1JjxrF+znI1rl1PcriSjxkykgmvqkLh6DZvw9EksWzasJjoqEken0nw7aTrFiuXsuqT6DZvw9MkTNm9YRXRUFI5OpfkuzXKioyJ5nOZGVcXtSjBu0jRWLF3Ivj07sbaxYeDgYdRJ87N4b/JvWLOcjWtXUNyuJF+NmaCWP6fad+7B67g4lv3iy/NnzyjnUpFxk2elq8cwtSFkLhU9GDF6AhvXLmPj2mXY2ZVi5JhJlHdJ/cbgwN6dAEwcO1xtfZ+PGEvjZq2ync+iujt1Dq9RPXeb+S0A91dv55+BYzEuURQTh9TLcF7efcC5tj64+Y7F6bOexP0bztWRP/JoR+pPwkWfvsjFnqNwmTQCl0nDeRF8n4s9RhLz1z/ZzqXJnhPPKGikoF87C0wLGRD84DXTV0by6nXqdQ62FoZqlz1ExSYxfWUkvVpZ8NMwM6KfJPL7n8/ZfVy907BSWWNsrQro9GsQaXl6fUpC/CtO7pzM65exFHOoTKtPl1PQOPW+Kc9i/s3xNbVlPVvx6kUMfx9eyIsnEVjblefj/ospbFVKp5wduvTg9es4li6apTq+v5/im6FdGqTJ6ermwcgxE9iwZhmbUo7vkemO7+CbQUwc+6Xq+aplCwBo1LQlQ0d9m+18+nB8p2ZcnZLRmXGTpqlljIhIvfdNcsaprFy6iH17/DVmjI6KZNTw1JsN+2/fhP/2TVTy8OSHaXNynLGBV2OePn3CpvVriIqKwsnZmfGTplIs5dua6OhIHqfLOH7yTyxfsoi9e3ZhbWPDp4OHUrd+Q1WZV69e8euieUQ+jqBgQWNKOTgw8uuxNPBqnON8abXr3JPXcXEs/2UWz589pZyLG99Onq3WJiMjwtTeC10qevDl6IlsWruUTWuXUdyuFF+Omax2royNiWLhrClER0ViamaGo3NZvp3kS+V0d5vPjvz+vqgvOfXh+M5qW5Mzqh87302azsqlC9ifknHA4OEaM2ZWxzmhD/X4Rn7/LKQP5/P8Li9/9lHTZQ+a2NraYmhomGF0Qnh4eIZRDOkplUpWrFhB7969VSPctTEwMKBmzZrvdMSCQqnMwZ3LhHiHrtzKerhPfqDI7K58+USiUvsvEuQX990a5HWEbNkw+kheR8hS1Zolsi6Ux1q4a76Ra35jQN7c/yYn9OEcZKDI//UI8Cop6w99ea2A4v2NDPzQ6cOxo9SDm+zpQz2CfnwWKqDI/z8D6Vbu/VzW+i6EDOmUZ+t2/HV7tst+9NFHVK9enUWLFqmmubm50b59e42XT7xx9OhRGjduzOXLl3F3z/zyL6VSSa1atfDw8GDFihWZltWVjFgQQgghhBBCCPFB0Zefmxw1ahS9e/emRo0a1KlThyVLlhASEsKQIUOA5MsqHj58yOrVq9XmW758OR999JHGToVJkyZRu3Ztypcvz5MnT5g3bx4BAQEsXPjufq1NOhb0UEhICG5u2od/afvNUyGEEEIIIYQQ+Ue3bt2IjIxk8uTJhIaG4u7uzt69e1W/8hAaGkpISIjaPLGxsWzbto25c+dqXGZMTAw+Pj48evQICwsLqlatyvHjx6lVq9Y72w65FEIPJSQkcPfuXa2vOzs76+XdX+VSiNyjD8P/5FKI3COXQuQeuRQid8ilELlHLoXIPfpw7MilELlHHz4LyaUQ79b9zzvn2bodFm3Ls3XnFf3761NQoEABypUrl9cxhBBCCCGEECJfysubN/4XSW0LIYQQQgghhBBCZzJiQQghhBBCCCHEhyWHP6Mt3o6MWBBCCCGEEEIIIYTOZMSCEEIIIYQQQogPir783OSHQkYsCCGEEEIIIYQQQmfSsSCEEEIIIYQQQgidyaUQQgghhBBCCCE+KPJzk++X1LYQQgghhBBCCCF0JiMWhBBCCCGEEEJ8UOTmje+XjFgQQgghhBBCCCGEzqRjQQghhBBCCCGEEDqTSyGEyCEl+X9YlZFBfF5HyNKG0UfyOkK2dJ/ROK8jZClwU2BeR8iSAUl5HeGDkYhhXkfIUlxSwbyOkC0mBq/yOkKWEpX5f3/rw/uiyD36sr8LKBLyOkKW9OF8rs/k5o3vl9S2EEIIIYQQQgghdCYjFoQQQgghhBBCfFDk5o3vl4xYEEIIIYQQQgghhM6kY0EIIYQQQgghhBA6k0shhBBCCCGEEEJ8UORSiPdLRiwIIYQQQgghhBBCZzJiQQghhBBCCCHEh0V+bvK9ktoWQgghhBBCCCGEzmTEghBCCCGEEEKID4pCIfdYeJ9kxIIQQgghhBBCCCF0Jh0LQgghhBBCCCGE0JlcCiGEEEIIIYQQ4oOikJs3vldS20IIIYQQQgghhNCZdCzkUL9+/ejQoUOmZZydnZkzZ47q+aNHj2jevDlmZmZYWlq+03z5Sfp6EEIIIYQQQoj3QWGgyLPHf5FcCvEOnDt3DjMzM9Xz2bNnExoaSkBAABYWFhw9epTGjRsTHR39n+poyA1KpZLN6/04uH83z589pbyLG59+NgJHp9KZznf61DE2rlnOo9B/sStRkh59PuWjug3VyuzfswP/7RuJjorCwdGZ/j5DcXP3/CAz7t3jz85tm4iOisTByZmBPl9Qyb2y1vJXLl9ixdJF3L93F2sbWzp27kbL1u1Urx/Yv4cjhw8Scu8OAGXLVaBX34FUcKmY42zpdWpSmMY1TTEzMSD4/mv8dsfyMDwh03lMCyn4pHkRalYqhGkhAyKiE1i/7wmXbsQBMPvrYhS1ynj6O3jmOat2x2Yrl3X9GpT5aiAW1dwpVLIY5zt/Ttiuw5nP06AmbjO/wdytPHH/hhPsu4yQJRvVyth1bEGFiV9iWtaRF8EhBI2fTZj/oWxl0kapVPL34YVc/2szcS+fUMyhMnXbf4918fLZmj/40m/8sfFrnNya0qL3AtX00Dvn+Of4Ch4/vMqLpxE07zUf50rNdMq4b8/OlLYdiYNjaQb4DMUtkzZ59XIAK5cu4n7IHaytbenQ5X94t2qvVub0qWNsWLNC7ZiqXbeBTvn0KWfyOWglh1LOQeVc3Bj02UgcsjgHnTl1VO0c1L3PILVz0LUrAfhv28jtW0FER0UyetyP1Krzdjm3rl/BH7/78+zZU8pVqMSAz0bh4FQm0/nOnjrC5rXLCAt9SPESpejW24dadb1Urx/Yu4NDe3cQERYKgL1jaTp170/VGnVynHHvHn92bNtMdFQkjk7ODPT5PBvnyl8ISXOu/Lh1W9Xrp0+dYMum9TwKfUhCQiIlS5WifcdPaNy0eY6zvZHbbTLk3h02rl1J8K0gIsLD6D/oC9p2+ETnfJDz966rlwPwW7qQ+yF3sbK2oUOX7hqPm6zeM3NKf47v/P0ZQ19y7tuzk53bUz4LOTozMIv9fUW1v++q9nfLVqmfhULu3WHD2pUE37pBRHgYAwZ9QdsOXXKcKy19OZ8LATJi4Z0oWrQopqamqufBwcFUr16d8uXLU6xYsTxMpi4+Pj6vI+TYzq0b2L1jM58OGcH02YuxtLJm8rivePnihdZ5ggKvMGvaJLyatMB3wfLkf6dN5Mb1a6oyp47/wcqlC+jcrTcz5y2lontlfpwwhojwsA8u48ljR1ixZCGfdOvJrPlLcKvkwZTx32hdTtijUKaMH4tbJQ9mzV9Cl649WLZ4AX+ePK4qc+WfSzTwasKUqbOY7ruAokWLMXHcaCIfR+QoW3ptGpjzcT0zVu2OZfyiCGKeJfFNfxsKFdTeE2xoCN/0t6GolSFz10fzf3PCWb4zlugniaoy4xc95oupj1SPqSseA/DXlZfZzmZoZsqTf4K4+uXkbJU3cban5u4lRJ28wMmaHbg1/Vcqzf4Ou44tVGUsa1eh6vrZPFznz4nq7Xm4zp9qG+ZgWUv7B53suHR8GZdP+lG33Tg6fLEZk8K27Fs+kNdxz7Oc92n0Q87u/Rk75+oZXkt4/RLrEi7UbTfurfKdVLXtXvjOW0ZFdw9+mDA60zb5w4RvqOjuge+8ZXTq1pPli+dz+tQxVZmgwKv4phxTsxYs03hMfag5d25dz54dmxk4ZATTZi9JOQeNytY5qGETb3wXrKBhE29mTZugluPVq1c4ly7LwCEjdM6W1q5t69i7cyP9h4zip1nLsbSy5qfvR/DyhfZ2eSPwCnOnT6BBY2+mz19Fg8bezJ3+PTeDrqrK2NgUpXvfIfw4Zzk/zllOJc/qzPzhG+7fu52jfCeOHWH5kkV80q0Hs+cvxq2SB5PHj810f08e/y1ulTyYPX8xXbp2z3CuNC9cmE/+15PpvvOZu2gpTZt5M2/2DP6+cC5H2d54F20yLi6O4nYl6N3PB0sra51ypZXT966wR6H8OGEMFd0rM3PeUjp368WKxfPSHTdZv2fmlP4c3/n7M4a+5Dx5/A9WLF1Il2698J23FDf3ykzJol3+MGEsbu6V8Z23lM5aj52S9O7ng1UuHDugP+dzIUA6FrTaunUrHh4emJiYYGNjQ7NmzXj+PPXDzsyZMylRogQ2NjZ88cUXan+kp70EwNnZmW3btrF69WoUCgX9+vWjcePGAFhZWammZaVRo0YMHz6c0aNHY21tjZ2dHRMnTlQrExISQvv27TE3N6dIkSJ07dqVsLDUE+TEiROpUqUKK1asoEyZMhgbG6NUKlEoFCxevJg2bdpgampKxYoVOX36NLdu3aJRo0aYmZlRp04dgoODVcsKDg6mffv2FC9eHHNzc2rWrMmhQ2/3rWpWlEole/y30Llbb2rXa4ijcxmGjRpLXFwcJ45pX/ce/614Vq1Op669sHdwolPXXnh4VmeP/xZVmd07NtOkRSuaebfB3tGZAT7DsLEtyu97/T+4jP47ttCsxcc0b9kaB0cnPh08FNuixdj/2y6N5ffv3U3RYsX4dPBQHBydaN6yNU2bf4z/9s2qMqNGf0erNu0pU7Yc9g6OfD78K5RJSv65dDFH2dJrWc8M/6PPOH/tFQ/CE1i8NZqCRgrqepponcerevLohtlro7gZ8prImERu3HtNyKPUUQ5PXyQR+yz1UdWlEGGRCQTeeZ3tbBG/H+fGhDk82nkwW+WdfP7Hq5BQrn31E8+u3+b+iq3c99tOmVEDVGVKD+vL40N/EjxjCc+DbhM8YwmP/ziD87C+2c6VnlKp5Mqp1VRpPJjS7i2wtqtAo0+mkRD/iuCAPZnOm5SUyJFNo6nWbCiFrR0yvO7g0pCaLUZQ2r2Fhrmzb/eOLTRt0Yrm3m2wd3RioM8wbGyLaW3bv+/dhW3RYgz0GYa9oxPNvdvQpPnH+G/flLpM/614Vq1B5649sXdwonPXnnh4VmOP/9YPOqdSqeQ3/y106tab2vW8Us5B36acg7S31d/8t1C5ag06de1FqTTnoN/SnIOq1ahN9z6DqF3PS+tycpJzn/9mOnTrS626jXBwLsPno8YRFxfHqUxy7t21CY+qNenQtQ+lHJzo0LUP7p412Oefej6q/lF9qtasS8lSjpQs5cj/+gymUCETtc6H7PDfsZVmLT6mhepc+QW2RYux77fdGsunniu/wMHRiRYtW9O0eUt2pjlXelSuQp269XFwdKJEiZK07dAZ59JlCLx6JUfZ3ngXbbJ8BVf6DvyM+l5NMTIy0imXesacvXcd2OuPbdFiDPAZhr2jM82829CkeSt2bU8d3ZWd98yc59SP4zu/f8bQl5y7VPs7+fge6DMUG9ti7N+r+bNQ6v5O+Szk3ZomzT9WO77LV3Cl38AhNPBqQoFcOHb05XyerxkY5N3jP+i/udVZCA0NpXv37gwYMIDAwECOHj1Kp06dUCqVABw5coTg4GCOHDnCqlWr8PPzw8/PT+Oyzp07R8uWLenatSuhoaHMnTuXbdu2ARAUFKSalh2rVq3CzMyMs2fPMmPGDCZPnszBg8knFqVSSYcOHYiKiuLYsWMcPHiQ4OBgunXrpraMW7dusXnzZrZt20ZAQIBq+pQpU+jTpw8BAQG4urrSo0cPBg8ezNixYzl//jwAQ4cOVZV/9uwZrVq14tChQ1y8eBFvb2/atm1LSEhItrZFF2GPQomJjsKzWg3VNCOjglRy9yQoUPuHshvXr+JZtabatCrVahIUmPwhMz4+nuBbN6iSroxntZqZLlcfM6qWkyYfQJWqNbgeqPlDd1DgVapUVS9ftXoNbt0MIiFB8yUJr+PiSExMwNy8cLazpVfUyhDLwoZcvvVKNS0hEa7fjaO8Y0Gt81VzLcSt+6/p286ChWOLM3V4Udp5maPQMsjB0BDqVTHh2AXtvf+5wbJ2FSIOnVKbFnHgBBbV3VEUSL4sw6p2FR4fOqlW5vHBE1jVqarzev+fvfuOr+n+Hzj+upkS2YIYGUYkMoQYtUpL7dpKdahSdNAabVX5lVCjI6iiFXu0doiibWxKKZpQmxgJInuIkXl/f9zkJje5N0tIru/7+XjcB/fkcz7nfT6fcz733M/9nM+5n3CbR/djqe3aRr3M0MiEGnWaE3Wr8I6fkH2LqVTZFvfmTzaUszCqY/Ky1uNf1zF55dJ5GvvmT9+CsDzH5JVL5wucL018W+jM83mJM1rdBuXmaWxsgkcp2iAf3xYlbgOLHWfUXRIT4mjUpIVGnA29GnPl4n8617t66TyN8sXZyLeFznWyMjM5dmgvqY8f08Ddq9jx6W4rm+qsm0sXL9C4iebIniZNm3Pt6hWtbaVSqeRM6L/cuX0bTy/vYsemGWPZH5NlqTSfXZcvndc4flUxNi9w3hT2mVm6OCv++V3RrzH0Jc7cfPKd377NuKTzuLxQoD1oku+4LGv60p4LkUPmWNAiMjKSjIwM+vXrh7OzMwDe3rkf+ra2tixcuBBDQ0Pc3d3p0aMH+/btY8SIEQXyqlq1KqamppiZmeHg4ACAnZ1qeFS1atVKNMdCo0aNmDp1KgCurq4sXLiQffv20alTJ/bu3cvZs2e5ceMGjo6qXxbXrl2Lp6cnJ0+epHlzVQOTlpbG2rVrqVq1qkbe7777LgMHDgRg4sSJtGrViv/7v/+jS5cuAHzyySe8++676vQ+Pj74+OTez/b111+zbds2duzYodEBUZYSE+IBsLHRHF5mbWNLTIzuIXCJCfHY2NpqLLOxtVXndz85iaysTKzz5Wtjk5vmeYlRlU8WNjaa27K2tSVBRz6JCQlY54/NxpbMzEySk5Ows6tSYJ01K5diV8UenyYFh88Xl42lqt8zKSVLY3lSShb2NoY616tmZ4i9jSnHzjzku9XxOFQx5J1eNhgYwPYDKQXSN2uomofh8L9Pt2PBtLo9qVGxGsvSouMwMDbGxN6W1HsxmDrYkxoVp5EmNSoOUwfN87UkHt1XbdPMwl5juZlFFe4n3tW53r2b/3L51Fb6fbyt1NsuDp3HZCHHdkJCPI1tCj8mExPiCxy31rYlP6f1Lc6EhLjs7eRvK+yIibmnc72i2qCylpOvdYHytCM2urA44wq0g9Y2dgXiDL8Zxv99Oor0tDQqmZkxYfIsajsVfk9yXsk66tum0LZSSxlqaSsfPEhh2NuDSE9Px8DAgPc/+qTAF5bieFrHZFkqzWdXYkK8ln2yIzMzk/vJSdhmnzdlebzqy/ld0a8x9CVOXfWtyidB6zoJCfE0eYbnjmqb+tGeV2T/q5MolhfpWNDCx8eHjh074u3tTZcuXejcuTMDBgzANvsk9fT0xNAw94tNjRo1+O8/3b+wlJVGjTTvs65RowbR0dEAXLx4EUdHR3WnAoCHhwc2NjZcvHhR3bHg7OxcoFMhf97Vq1cHNDtTqlevzuPHj0lOTsbKyooHDx7g5+fHzp07uXv3LhkZGTx69KjYIxZSU1NJTU3VWJaWmoqJqan6/eEDe1iy0F/9/stpcwBQFPjpWYmCohoOzb8rlQXzyZ+tUqllYT76EKP2TRXMqGDMeSMrGJu25QCBmzdw5NB+vv5mLiYmukcW5Nfax4xhva3V779fo/0DUAGg1J2PQqEg+UEmy7cnoVTCzbvp2Frdp8eLFlo7Fto3M+fM1VQS72dpya2MKfMFnlPmeZdrS5N/WSGuhfzGke3T1O+7vvOTKpv8oRRyTKalPuDAps95sd90KlW21ZqmrBU4/pTKQg/t/OmV2QdF3qUFj9vC8yyOihbn4QPBBORpgyZN+yZ7u/nCLEYbpD2Osrko++vAnyxd9J36/cSp32XHWbK2qLjr1KzlxDcLVvHgwX3+OXqQxfNmMnXOwhJ1Lqi2VWBTJWorc87dvMvNzMyZvzCAR48ecfbMv6xY+hPVHWrg3ahxiWLLjbHsj8myVtLPLm2foVpSFcjzSY/Xind+68c1hr7EWXBT2rZVWHJd9V02Z4++tOdC6CIdC1oYGhqyZ88ejh07RnBwMD/++COTJ0/mxIkTAAXuOVQoFGRlPf0vJYVtV1eDkX953qdV6Mo7J722ZTnb++yzz/jzzz/5/vvvqV+/PmZmZgwYMIC0tOLdoz579mz8/Pw0ln0wZgIffvyp+n3zF9rgmuepAjnzWCQkxGGbp2c4KTGxQM9sXja2BX/NSkpMUP9SZmlljYGBYcE0SQkFerPz04cY81LlY6BlW4k689HWy52UlIChoSGWVlYay7dv3ciWTb8wfeb3uNSpV+y4AP69+JiwiNzjx8hIdcxZWxhofOm3sjAoMIohr8T7mWRman4XvxOTgY2lIYaGkJk7hyNVbAzxqmfK/F+1/0JRllKjYguMPDCpakdWejppcYmqNPdiMXXQHFlgWs2uwEiHwjh5dKCfY25HYWamqkwfpsRibpU7eezjlHjMLLT/wnI/LpyUhDv8ueZD9TKlUlXmyyZ7MXD8bqyqOBU7psLkHJP5fwVOSkos8KtUDlut50ti9jGp6pzSdk4lJ+rOU1/jbP5CW1zdPNTvM9RtUDy2drnHUlJiwZFHednY2hXct8TEAiMKSqvpC22p7+apfp+erjouE/PHmZRQ6DZtbKuQmKA5qkfbOkbGxjjUrA1APdeGhF29xO87NjNi9OfFitdKXd+abUNSou42V1sZJiYlFmgrDQwMqFGzFgB169UnIjycLZvWl7hj4Wkdk2WpNJ9d2o/FhCLPm7yfmaWLsyKe3/pxjaEvcebQeS1USPtjq6ON1HYtVFr60p7rE4VC7vp/lqS0dVAoFLRp0wY/Pz9CQkIwMTFh27ayGRKc8ytuZt5vOE/Iw8OD8PBwIiIi1MsuXLhAUlISDRs++SP/8jty5AhDhw6lb9++eHt74+DgwM2bN4u9/qRJk0hKStJ4vTdqjEYaM3NzatSsrX45OrlgY2vH2ZBT6jTp6emcP3cGt4a6751t4O7JmdBTGsvOhJzEraHqItfY2Jh69RtwJkQzzdmQU4Xmqy8x5pWTT2jIaY3loSGncW/oqXUdt4aeBdP/e4r6rm4YGeX2TW7bsoFN69cxdcY31G/gVuyYcjxOUxIVn6l+3YnOIPF+Jl71K6nTGBqCu4spV8N1d2BdvZVG9SqGGj38NaoYkZCcSf5Trr2vOckPsgi9/JinLfF4KPYdW2ssq9qpLUmnz6HMvj8z4Xgo9h3baKSxf6UtCX8XfxJME9PKWNs7q1+21epjZmnPnavH1GkyM9KIvHGS6s5NtOZhXbUu/T8Jot+YQPXLuWEHatZ9gX5jAqls7VDseIqiOibdChzbZ0JO6TwmG7h7akl/knp5jklt51RoyEmdeeprnPnboNo62qALxWiDzoZqPplA1QYVv30pPM7KONSsrX7VdqqDjW0V/gvJ3WZGejoXz4XSoKHu+QZc3T011gE4G3Ky0HVA1cme05lRHLltbvHbSveGHjraygYabaWW6NRfIEriaR2TZak0n11u7p4axy+ozomizpu8n5mli7Pin98V9RpDX+LMoSufMyGncdd5XHpoaQ9Olem5oy/tuRC6SMeCFidOnGDWrFmcOnWK8PBwAgMDiYmJKbMv6M7OzigUCnbu3ElMTAwpKQWHZ5fUK6+8QqNGjXjzzTf5999/+eeffxgyZAjt27enWbOS37tZlPr16xMYGEhoaChnzpzhjTfeKNGoDVNTU6ysrDReeW+D0EahUPBq79fYuukXThw7TPjN6yycNxtTU1NebP+KOt0C/5msWxWgft+j1wDO/HuKbZt/5XbELbZt/pWzoad5tXfuc7l79h3IvuBd7Avexe3wm6wMWEhsTDSd8zyfuDj0IcbefV9j75+72Rv8OxHht1gesIjYmCi6dFc9a33tyqXM/362On3X7j2JiY5iRcBiIsJvsTf4d/YG/07vfgPVaQI3b+CXNSsZPfYzqlVzICE+noT4eB49Kv7jG7X54+gDerW3oJlHJWpXM2JUfxvS0pUcO5Ob76gBNgzsnDtJ5N5/HmBhbsDbPaxwqGJIYzdTer1kwZ4Tmo+wUyigna8ZR/59SGkGHBlWNsfKxx0rH3cAzOvUxsrHnUqONQBw+3o8Piu/Uae/FbABM+eaNPzuCyzc61J7aH8c3+3P9bkr1GluLlyDfac21P10BJXd6lL30xHYd2zFzR9XlzxA9X4q8GozhNCDAdw4v4f4e1c4tOVLjIwrUa/xq+p0BzZN5J8/5gJgZGyKnUMDjZdJJUuMTStj59AAQyNV52h66gPi7l4k7u5FQDVRZNzdi6QUMneDNj37vpZ9bO/mdvgtVgQsJDYmSn1sr1sVwA/+s9Tpu3TvRUx0FCuXLuJ2+C32Be9mX/BuevfLnaz21V79Cf33JIHZ51Sg+pwq/USU+hCnQqGgR+/XCNy0Tt0GLVK3QZ3U6Rb4z+SXVUvU77ur26BfuBNxi22bf+G/0FP0yNMGPXr0kBthV7kRdhVQTdB2I+xqqR5Hp1Ao6NZ7INs3r+GfY4eIuHmdxfNnYmpqSps8cS7yn8H6VT+p33frNZCzIScJ2rKOOxG3CNqyjnOhJ+nWO7c9Wr/6Zy6eCyU6KpLwm2FsWLOEC+dCaPtSyZ5e0rvvAPbkaSuXBSwmNiaartlt5ZqVy5j3/Rx1elVbGc3yfG1lnzxt5ZaNvxL67ynuRd7ldkQ4QYGbObBvD+1f7ljiMoSnc0ymp6er6zkjI4P4uFhuhF0l8u7tUsZY+GfXulUBLPCfqU7fuXvv7BgXcjv8JvuCd7E/eDe9+r2uTlOcz8ySx6kf53dFv8bQlzh79X2NvcG72Ru8m4jwW6zIfy20aqnW+l6xdFH2+a2q77znt+rcucaNsGtkZGQQFxfLjbBrRN69U+IyBP1pz4XIIbdCaGFlZcXhw4eZP38+ycnJODs74+/vT7du3di4cWPRGRShVq1a+Pn58cUXX/Duu+8yZMgQnU+VKC6FQsH27dsZM2YM7dq1w8DAgK5du/Ljjz8+cbzazJs3j2HDhtG6dWvs7e2ZOHEiycnJT2VbefUZMJi0tFQCFs/jQUoKrm4N+WrG95iZm6vTxMZEawx9cvfwYvzEr/h17XI2rFtOdYeajJ84jQbuucPN2rTrwP3kJDavX0NCfBxOznX40u8bqlUr+S+zFT3Gtu1fJvl+Mht/XUNCfDxOLi78n99sqlVX5ROfEE9MTLQ6fXWHGvzf9NmsCFjE7p1B2FWpwnujRtO6bTt1mt93BZGRkc63s6ZpbGvQG0MY/NbQEsWX184jKZgYKxjayxrzSgaE3U7jm5VxPE7Lvc/B3tpQ47aH+KQsvlkZx1vdrZk1pjIJyZn8eewBvx3W7MDzrGeKva1RqZ8GYd3Ui1b71qrfe3z/JQARawI5O3wSpjWqYpbdyQDw6OZtTvYciYf/JJw/eJPUu9GcHzeTe9uC1WkS/g4h5M3xuPmNxc3vYx6GRRDyxjgS/zlbqhhz+LR7j8z0VI4GTSftUTJVHRvRbdgyTExzb416kBhZ4iGDMXfOs2tp7qMwj+9SdaS4+vbhpddm61qtgLbtOnA/OZlN61erjknnOkzOc2wnxMcRm2fCr+oONZjiN4cVSxfx+87t2FWpwvBRY2iV57FZOefU+rXL2bBuBdUdajJh4lSNc6qk9CXOPgPeIC0tlaWL56rboP+b4Z+vDYrCIM+wHncPb8ZNnMr6tcvYmN0GjcvXBoVdvcy0SZ+o369ethCAlzp2ZfT4L0scZ6/+b5KWmsqKn/x5kHKf+m4efDl9PmbmucdlbEyUxuRbbg29+fhzPzatC2DTuqVUd6jFJxOn45rnNoukxAQWzZ1BYnwc5pUr4+RSn0l+/hpPoCiOF9u/zP37yWz8dS3x8fE4u7jwld9sqmXPQ5SQEEdsvrbyq+mzWB6wmN07d2htKx8/fszPixcQFxuDiYkptRwdGffpJF5s/3KJyw+ezjGZEB/LhI9zJ6MOCtxIUOBGPL19mDHnhxLHWNRnlypGzXKc7PcNK5cu5I/sGIeN+ljreVPYZ2ZJ6c/5XbGvMfQlztz6zr4WcnZhit8cjfrOfy00xW82K5cu5vfsa6GC504c43WcO1/PmV+i+HLoS3teYcnkjc+UQqkswaxgQjxF567pnuFWlIyhouxus3laZq7Qj8Z+8Lelu+B/li5uvFjeIRSpWyP5FaSsZOnBYMMMpe4nt1QkZgZP/zaoJ5WpB2WpfKpTP5YdRWEz/1YQ+lKW+sCAZzAp8xPKpOKf3971q5d3CKWWMPvDohM9JbaTFpfbtsuLjFgQQgghhBBCCPFcURhU/I7454mUdgUQHh6OhYWFzldxH+EohBBCCCGEEEI8azJioQKoWbMmoaGhhf5dCCGEEEIIIYSoiKRjoQIwMjKifv365R2GEEIIIYQQQjwXFDJ54zMlt0IIIYQQQgghhBCi1GTEghBCCCGEEEKI50sJH6MtnoyUthBCCCGEEEIIIUpNRiwIIYQQQgghhHiuyBwLz5aMWBBCCCGEEEIIIUSpSceCEEIIIYQQQgghSk1uhRBCCCGEEEII8XwxkN/QnyUpbSGEEEIIIYQQQpSajFgQQgghhBBCCPFcUShk8sZnSUYsCCGEEEIIIYQQotSkY0EIIYQQQgghhBClJrdCiApDgbK8QygWJRV/WFWm0rC8QyhSk+bVyzuEYrm48WJ5h1CkhoMalncIRVJcPFDeIRRLlh70t+tDW2miSC/vEIolQ1nxL4P04TPHgKzyDqFY9OH81oey1IdjEvQjTn1oz/WaTN74TElpCyGEEEIIIYQQotQqfle9EEIIIYQQQghRAgqDij9q5XkiIxaEEEIIIYQQQghRajJiQQghhBBCCCHE80Uhv6E/S1LaQgghhBBCCCGEKDXpWBBCCCGEEEIIIUSpya0QQgghhBBCCCGeLzJ54zMlIxaEEEIIIYQQQghRajJiQQghhBBCCCHEc0Uhkzc+U1LaQgghhBBCCCGEKDXpWBBCCCGEEEIIIUSpya0QQgghhBBCCCGeLzJ54zMlIxaEEEIIIYQQQghRajJiQQghhBBCCCHEc0VhIL+hP0tS2k/J0KFD6dOnT6FpXFxcmD9/vvr9vXv36NSpE5UrV8bGxuapxieEEEIIIYQQQpQFGbFQjk6ePEnlypXV7+fNm0dkZCShoaFYW1tz8OBBXn75ZRISEvSqo2Ho0KEkJiayffv2Ms33953bCQrcQEJ8HI5OdRg2cjQeXo10pj//Xygrly4mIvwGdnb29BnwOl2699ZI8/fRQ6xfu4J7kXdxqFGTN4a8R8vWLz5RnEqlkk2/rmLPH7/xIOU+rm4evPfBWJyc6xS63t9HD7Fh7XKNWF5o3U4jzR87t2WXQTyOTi68O3I0Hl4+FSbG8+fOELR1PdevXSEhPo7Pp3zNC61KX55KpZLTexdy6cQmUh8lU82pEW16f4Wdg2ux1r8Wuov96yfg7NGRLu8s0vjb+b9/5eyh5Ty8H4Nt9fq06vklNeo0K1WM/+5bxKV/smN0bETr3v+HXfXixRh2Zhf7N3yKs0dHOr+9UL088sZJzh5eQeyd8zy8H0Ont37ExfOVEsdn17YZdScMx9rXi0o1q3Gq/4dE7dhX+DovNsfj+y+w8HAl9W40Yf7LCA/YoJHGoW9nGkz7BPN6TjwMC+fyV/OICtpb4vhy/L5zO9sDN2af3y4ML+L8Pqc+v2+qz++u3Xup/x5+6wbr160k7NoVYqKjGDbiI3r2GVDq+HLow7mjD21QWbfn4bdusGHdSsKuXSYmOop3R3xEzz6vlTiu/PShLFUxrmRvdoz13TwY8cE4HIuI8fjRgxoxDh4yQiPGC+dCCdq6gevXLmcfkzNpUcpjUr8+v6UsK/K1UFm2lfrQDpW0nTj/Xyirli4iIvwmtnZV6DNgsNb6Lqp9em4oZI6FZ0lGLJSjqlWrYm5urn4fFhZG06ZNcXV1pVq1auUYWcXz1+H9rFy6kP6D3sJ/wTIaennz9dTPiYmO0po+6l4kX0/9goZe3vgvWEa/QW+yfMmP/H30kDrN5Yvn8Z/jR/sOnZm7cBntO3TGf840rly68ESxbt+ynt+2beK998fyzbwl2NjaMX3KBB49fKhzncsXzzE3Oxb/hcu1xnJUXQZv8/2CpTT0asTMqRN1lkF5xJj6+BEuderz3vtjSxyTNmcOLeO/I6to0+f/6DtmM2YWVdm9bBhpqSlFrns/4Q4ndn2Lg5bOgrAzu/n7t9k06fA+/T7ehoNLM35fMZKUhLslj/HwMv77axWte02hz0ebMLO05/flw0lLfVC8GHd/h4NL0wJ/y0h7hF0NN1r3mlLimPIyrGxO8tnLnP9kerHSm7nUpvlvAcT/dZq/mvfh2jc/4zlvMg59O6vT2LRsTJNf53HnlyCONO3NnV+C8F0/H5sWui/ICvPX4f2sWLqIAYPewn/BUjy8GjGjkGNbdX5PwsOrEf4LltJfy/mdmppKdYeavD10JLa2dqWKSxt9OHcqehv0NNpzVX3X4O2hI7HRg/ou2/b8V3Zu28Tw98cyZ15AdozjixVjuw5d8F+4gnYdujB3zlSNGB8/foxLnXoMf8JjUr8+v6UsK/q1UFm1lfrQDpW0nYi6F8nMqRNp6NWI7xcspf+gt1ixZEG++i66jIUoLelYeEJbtmzB29sbMzMzqlSpwiuvvMKDB7lfKL7//ntq1KhBlSpV+Oijj0hPT1f/Le+tEC4uLmzdupU1a9agUCgYOnQoL7/8MgC2trbqZU8ST87tGX5+flSrVg0rKytGjRpFWlqaev0//viDtm3bYmNjQ5UqVXj11VcJCwvT2MadO3cYNGgQtra2VKlShd69e3Pz5k0Apk2bxurVqwkKCkKhUKBQKDh48GApSlbTb9s207Fzdzp1eZXaTs4MHzmGKvbV+HN3kNb0f+7egX3VagwfOYbaTs506vIqHTp1IyhwY26eQVvwadKM/gPfpLajM/0Hvom3jy87g7aUOk6lUsnOoM30H/Q2Ldu0w8mlLmPGTyI1NZUjh3T/mrszaAs+TZrSb+Bb1HZ0pt/At/D2acrOoM15ymATHTp355Uur1LbyYVhI8dQxb6qzjIojxh9m7VU/dLR5sl7vpVKJf/9tYYmHd6njldn7Bwa8PKgOWSkP+ZayM5C183KymT/hs9o2mkMVna1C/z97JFVuDXvj3uL17CtXo/Wvb7EwtqBC8fXlzjGc0fX0PjlUeoYX3pNFWNYaNExHtj4Ob6vjMbSzrHA3x3d2tG881jqeHXWsnbxxfx5mCtT53Nv+55ipXce+TqPwyO5MGEWKZeuE7FiCxGrAqk7fpg6TZ0x7xC79xhh3wbw4PJ1wr4NIHb/cVzGvFOqGHeoz+8eODo5M3zkaKrYV+OP3Tu0ps89v0fj6ORMpy496NCpG9sDN6nTuDZwZ+jw93mxfQeMjI1LFVd++nDu6EMb9DTac9cG7rwz/APatu+IsR7Ud1m257uCNtNv0Nu0bNM+O8Yvs2PUfc7vCtpMoybN6DfwLWrliXFXvmNy8JARtGzTvkQx5adPn99SlhX/Wqis2kp9aIdK2k4E7w7Cvmo1ho0cQ20nF17p8iodOnVnR2DuiMPilLEQpSUdC08gMjKSwYMHM2zYMC5evMjBgwfp168fSqUSgAMHDhAWFsaBAwdYvXo1q1atYtWqVVrzOnnyJF27dmXgwIFERkbyww8/sHXrVgAuX76sXvYk8QDs27ePixcvcuDAAdavX8+2bdvw8/NT//3BgweMHz+ekydPsm/fPgwMDOjbty9ZWVkAPHz4kJdffhkLCwsOHz7MX3/9hYWFBV27diUtLY1PP/2UgQMH0rVrVyIjI4mMjKR169ZPUsykp6cTdu0yPk2aayxv7NucSxfPa13nyqXzNPbNn74FYVcvk5GRkZsmX55NfFvozLM4ou5FkpgQj49v7q/kxsYmeHr5cPniOZ3rXbl0Xuv+Xc6ORVUGVwrE6+PbvNB8n2WMZe1+/G0e3Y+htmsb9TJDIxNq1G1O1K2QQtf9d+8izCrb4d6i4ND3zIw0Yu+c18gXoHaDNkXmWyDGhNs8uh9bMMY6RccYsm8xlSrb4t78yYfnlyWblo2J2XtUY1lM8BGsm3qhMFLdPWfbsjGxe//SSBO75wi2rZqUeHu5x7bmyJLGvs24pON4vHzpAo19NdM38W2ucX4/Dfpw7lT0NuhptedPQ0UvS4BodYy5eRkbm+BRihh9fFuUePtF0afPbynLXBX1Wqis6EM7VJp24vKl8xrHryrG5gXq+1ley5U7A4Pye5XQ4sWLqVOnDpUqVaJp06YcOXJEZ9qDBw+qf8DN+7p06ZJGuq1bt+Lh4YGpqSkeHh5s27atxHGVhMyx8AQiIyPJyMigX79+ODs7A+Dt7a3+u62tLQsXLsTQ0BB3d3d69OjBvn37GDFiRIG8qlatiqmpKWZmZjg4OABgZ6caRlWtWrVizbFQVDwAJiYmrFixAnNzczw9PZk+fTqfffYZM2bMwMDAgP79+2ukX758OdWqVePChQt4eXmxYcMGDAwMWLZsGYrs+5ZWrlyJjY0NBw8epHPnzpiZmZGamqreD21SU1NJTU3VWJaWmoqJqWmBtPeTk8jKysLGxlZjubWNLYkJ8VrzT0iIp3G+9DY2tmRmZpKcnISdXRUSE+Kxts2Xp63uPIsjZ10bG80hcNY2tsTE6B7impgQj02+WGzyxKIqg0ys8+VrU0gZPOsYy9rD+zEAmFlW0VhuZlGl0FsW7t38l8snt9J/7Hatf3/8MAFlViZmFgXzfXg/tkQxPspOb2ZhXyCv+4lFxHhqK/0+froNfGmYVrcnNUqzHNKi4zAwNsbE3pbUezGYOtiTGhWnkSY1Kg5Th6ol3p6u81t1bCdoXSchIZ4mRZzfT4M+nDsVvQ16Wu3501DRyxIgISFOa4w2NnbExNwrdYxlRZ8+v6Us8+RZQa+Fyoo+tEOlaScSE+K17JMdmZmZ3E9Owja7vp/ltZwono0bNzJ27FgWL15MmzZtWLJkCd26dePChQs4OTnpXO/y5ctYWVmp31etmnsd9vfffzNo0CBmzJhB37592bZtGwMHDuSvv/7ihRdeeCr7ISMWnoCPjw8dO3bE29ub1157jaVLl5KQ50LY09MTQ0ND9fsaNWoQHR1dbvHkpMk7r0OrVq1ISUkhIiICUM3z8MYbb1C3bl2srKyoU0c1yU54eDgAp0+f5tq1a1haWmJhYYGFhQV2dnY8fvy4wC0ThZk9ezbW1tYar6VLfix0HUX+CViUykLnZMmfXolq5EbepQrypSkiz/wOH9jDm/27ql+ZmRnaY0VZYFtaIs4XS8F8tBRBkRPTPOsYS+tqyG+s+D9f9SsrKzvO/DEVss9pqSkc2PAZL/afQaXKtlrT5Ch4fOjON8e1kN9YObWp+pWVmZ4dY/4QdZdlWuoDDmz6nBf7TS8yxnKTZ5QTkFsueZdrS5N/WUnkrw9l4dWh+/wuu4ma9OHc0Yc2SOuWnkJ7/qT0oSwPHwjmrf5d1K/MzEzteRUjRu2ff09norOK+fktZalOo2fXQmWlIrZDBbep+b6odkJbmWtJVSDPp1XG5U6hKL9XCcydO5fhw4fz3nvv0bBhQ+bPn4+joyM//fRToetVq1YNBwcH9Svv98758+fTqVMnJk2ahLu7O5MmTaJjx44aTyQsazJi4QkYGhqyZ88ejh07RnBwMD/++COTJ0/mxIkTAAXur1IoFOpbCp51PDkdBLrkNCg9e/bE0dGRpUuXUrNmTbKysvDy8lLPw5CVlUXTpk355ZdfCuSRt5esKJMmTWL8+PEay8IitPeWWlpZY2BgQEK+3tSkpMQCPbk5bG3tCvS+JiUmYmhoiKWVNQA2WtIkJ+rOU5vmL7TB1a2h+n3OHBoJCXHY5um9TkpMLNBDnJe2WJISE7DO7nlWlYFhwTRJCQV6p8srxifl7PEy1RxzJ//LzFAdcw/vx2JulTuZ6aMHcQVGG+RIjovgfsId/lz9gXqZUqk655ZO8mTQp79T2doBhYFhgdEJj1PiMNeRbw4njw70yxtjZnaMKZoxPk6J1xnj/bhwUhLu8OeaDwvEuGyyFwPH78aqiu7e6actNSq2wMgDk6p2ZKWnkxaXqEpzLxZTB81RGqbV7AqMdCiOnPNb27Gt69iytbUr2B6oz28rreuUhj6cO/rQBuX1tNrzsqAPZdn8hba4unmo32eoY4zH1i73nExKTCjwK3T+GLWdQ2XVnueo2J/fUpagX9dCZaUit0OaMZasndB+LCYUWd9Po4yF9tHZpqammOYbnZ2Wlsbp06f54osvNJZ37tyZY8eOFbqNJk2a8PjxYzw8PJgyZYp6fj5QjVgYN26cRvouXbo81Y4FGbHwhBQKBW3atMHPz4+QkBBMTEzK7P4VExMTAHUvelnEc+bMGR49eqR+f/z4cSwsLKhduzZxcXFcvHiRKVOm0LFjRxo2bFhgxIOvry9Xr16lWrVq1K9fX+NlbW2tjruomE1NTbGystJ4absNAlQdNPXqu3Em5JTG8jMhp3Bv6Kl1nQbunlrSn6SeqxtG2feJN3D35EyoZprQkJM689TGzNycGjVrq1+OTi7Y2NpxNs+209PTOX/uDG4NvXTmoy2WMyEnccuORVUGDQrs09mQU4Xm+yxjfFImphZY2zurX7bV62NmWZXbV3Mb1cyMNCKvn6S6cxOtedhUrcuAcTvo/8k29cu5YQdq1n2B/p9so7K1A4ZGJtjX8uTOVc3G+vbVYzrzzY2xsmaM1epjZmmvkVdmRhqRN3THaF21Lv0/CaLfmED1KyfGfmMCqWyt+xaiZyHxeCj2HTXnRanaqS1Jp8+hzL5HM+F4KPYdNeeosH+lLQl/l2yOCtB9bJ8JOY27juPRzd2DMyGnNZaFhpzSOL/Lgj6cO/rQBuX1tNrzsqAPZZk/xto6YrxQjBjPhp7UEmPx67I49OnzW8oyV0W9FiorFbkd0oyxZO2Em7unRpmDqi6Lqu+nUcZC++js2bNnF0gXGxtLZmYm1atX11hevXp17t3TfhtWjRo1CAgIYOvWrQQGBuLm5kbHjh05fPiwOs29e/dKlGdZkI6FJ3DixAlmzZrFqVOnCA8PJzAwkJiYGBo2bFj0ysXg7OyMQqFg586dxMTEkJJS+CP2ihNPWloaw4cP58KFC/z+++9MnTqV0aNHY2BgoH7KQ0BAANeuXWP//v0FRhW8+eab2Nvb07t3b44cOcKNGzc4dOgQn3zyCbdv3wZUT7g4e/Ysly9fJjY2VuNJGKXVs+9r7Avexb7g3dwOv8WKgIXExkTROfu59etWBfCD/yx1+i7dexETHcXKpYu4HX6LfcG72Re8m979BqnTvNqrP6H/niRw86/cjrhF4OZfORt6mld7l34yPYVCwau9X2Prpl84ceww4Tevs3DebExNTXmx/SvqdAv8Z7JuVYD6fY9eAzjz7ym2ZceyTR1L7vOPe/YdmF0Gu7gdfpOVAQuJjYlWl0FFiPHRo4fcCLvKjbCrgGoyrBthV0v1CDWFQoF32yGEHljCjXN7iL93hYObJ2FkXIn6TV5VpzuwcSL//O4PgJGxKXYODTRepmaWGJtWxs6hAYZGqs66Ri8O5dLJLVw6uZWEqDCO/TablMRIGrZ8vcQxerUZQujBAG6cV8V4aMuXGBlXol7jPDFumsg/f8zVGaNJpYIxpqc+IO7uReLuXgRUE0XG3b1ISiFzN2hjWNkcKx93rHzcATCvUxsrH3cqOdYAwO3r8fis/Ead/lbABsyca9Lwuy+wcK9L7aH9cXy3P9fnrlCnublwDfad2lD30xFUdqtL3U9HYN+xFTd/XF2i2HL06vsae4N3szd4NxHht1gRsIjYmCi6dO8JwNpVS7We3yuWLiIi/BZ7s8/vPv0GqtOkp6dzI+waN8KukZGRQVxcLDfCrhF5906pYgT9OHf0oQ16Gu25qr5V5ZeRkUF8XCw3wq4Sefd2iWLLSx/KUqFQ0KP3awRuWqeOcZE6xk4aMf6yaon6fXd1jL9wJ+IW2zb/wn+hp+hRyDEZVcpjUp8+v6UsK/61UFm1lfrQDhXVTqxbFcAC/5nq9J27986OcSG3w2+yL3gX+4N306tf7rVNccr4eaIwMCi316RJk0hKStJ4TZo0SXesBW4J1X1LlZubGyNGjMDX15dWrVqxePFievTowffff1/qPMuC3ArxBKysrDh8+DDz588nOTkZZ2dn/P396datGxs3biw6gyLUqlULPz8/vvjiC959912GDBmi86kSRcWTo2PHjri6utKuXTtSU1N5/fXXmTZtGgAGBgZs2LCBjz/+GC8vL9zc3FiwYAEvvfSSen1zc3MOHz7MxIkT6devH/fv36dWrVp07NhRPXnIiBEjOHjwIM2aNSMlJYUDBw5o5FEabdt14H5yMpvWryYhPh4n5zpM9vuGatVUv+4mxMcRm2dCoOoONZjiN4cVSxfx+87t2FWpwvBRY2iV51FP7h5ejJ/4FevXLmfDuhVUd6jJhIlTaeDuUWD7JdFnwGDS0lIJWDyPBykpuLo15KsZ32OWZ26L2JhoFIrcfr2cWH5du5wN65ZT3aEm4ydO04ilTbsO3E9OYvP6NSTEx+HkXIcv85RBRYgx7Oplpk4aq36/atkiAF7q2JUx43U3prr4tH+PjPTH/LV9OmmPkqjm2Iju7y3HxNRCnSYl8W6JG8l6Pt15/DCRf/ct4mFyDHYOrnR7dwmWtrVKHmO798hMT+Vo0HTSHiVT1bER3YYtw8S0sjrNg8RIjbIsjpg759m1NPfxjcd3qb78u/r24aXXCvZ462Ld1ItW+9aq33t8/yUAEWsCOTt8EqY1qmKW3ckA8OjmbU72HImH/yScP3iT1LvRnB83k3vbgtVpEv4OIeTN8bj5jcXN72MehkUQ8sY4Ev85W6J9zJF7fq/JPr9dmOI3R+P8jonJnZ9GdX7PZuXSxfy+M0jr+Z0QH8f4j3Mnyg0K3EhQ4EY8vX34es78UsUJ+nHuVPQ26Gm05wnxsUzQUd8z5vxQovjyquhlqYrxDdLSUlm6eK46xv+b4Z8vxigM8rST7h7ejJs4lfVrl7ExO8ZxWo7JaZM+Ub9fvWwhoDomR4//stjx6dfnt5RlRb8WKqu2Uh/aoaLaCVWMmp+Nk/2+YeXShfyRHeOwUR9rre/CyliUDW23PWhjb2+PoaFhgZEE0dHRBUYcFKZly5asW7dO/d7BweGJ8ywphVL5JLNtCX0ydOhQEhMT2b59e3mHotX5a5HlHUKxKJ/qND3/O/489/QatrKkzKr4TWTDQWUzSuppqnPxQHmHUCxZMpCvTCi0ThhW8ehDe64PMRrw9OaPKkv6cH7rQ1nqwzEJ+tEO6UNZetUv31s0n8SjdbOKTvSUmL1V/E7DF154gaZNm7J48WL1Mg8PD3r37q319gltBgwYQHx8PPv37wdg0KBB3L9/n927d6vTdOvWDRsbG9avX1/s2EpCRiwIIYQQQgghhBDlYPz48bz99ts0a9aMVq1aERAQQHh4OO+//z6gmvT+zp07rFmzBlA98cHFxQVPT0/S0tJYt24dW7duZevWreo8P/nkE9q1a8c333xD7969CQoKYu/evfz1119PbT+kY0GPhIeH4+Ghe6hSUc86FUIIIYQQQoj/CQYVf0QIqEYXxMXFMX36dCIjI/Hy8mL37t04OzsDEBkZSXh4uDp9Wloan376KXfu3MHMzAxPT0927dpF9+7d1Wlat27Nhg0bmDJlCv/3f/9HvXr12LhxIy+88MJT2w+5FUKPZGRkcPPmTZ1/d3FxeSoz0z4rcivE/xa5FaLsyK0QZUcfhkrrA30Yggz60Z7rQ4z6MHwf9OP81oey1IdjEvSjHdKHstTrWyF+Lf6cVGXN7I2Szy2m7/T3W+j/ICMjI+rXr1/eYQghhBBCCCGEEGrSsSCEEEIIIYQQ4rlS0idyiScjpS2EEEIIIYQQQohSkxELQgghhBBCCCGeL3oyeePzQkYsCCGEEEIIIYQQotSkY0EIIYQQQgghhBClJrdCCCGEEEIIIYR4vsjkjc+UlLYQQgghhBBCCCFKTUYsCCGEEEIIIYR4vihk8sZnSUYsCCGEEEIIIYQQotSkY0EIIYQQQgghhBClJrdCCCGEEEIIIYR4vhjIb+jPknQsiArDSJFR3iEUS7rSuLxDeC509oou7xCKxYCs8g6hSIqLB8o7hCLdaPhyeYdQLAcWhJR3CEUyMTEs7xCK9Eb7hPIOoVgUKMs7BPEM6UN9K6n494TrQznqC32obyGKSzoWhBBCCCGEEEI8X+Rxk8+UlLYQQgghhBBCCCFKTUYsCCGEEEIIIYR4vhjIrSbPkoxYEEIIIYQQQgghRKlJx4IQQgghhBBCCCFKTW6FEEIIIYQQQgjxfJHJG58pKW0hhBBCCCGEEEKUmoxYEEIIIYQQQgjxfFHI5I3PkoxYEEIIIYQQQgghRKlJx4IQQgghhBBCCCFKTW6FEEIIIYQQQgjxfDGQ39CfJSltIYQQQgghhBBClJqMWBBCCCGEEEII8XyRyRufKRmxoMNLL73E2LFj1e9dXFyYP3/+M9v+qlWrsLGxeWbbK4xSqWTkyJHY2dmhUCgIDQ0tUD5CCCGEEEIIIf43yYiFYjp58iSVK1cu7zDKxR9//MGqVas4ePAgdevWxd7ensDAQIyNjZ9pHLt3BhG4dTMJ8XE4Obvw3sgP8fTy1pn+3H9nWL70Z8Jv3cSuShX69R9Etx49taY9fOgA338zkxdatmbyV9OfKE6lUsmmX1ex54/feJByH1c3D977YCxOznUKXe/vo4fYsHY59yLv4lCjJm8MeY8XWrfTSPPHzm0EBW4gIT4eRycX3h05Gg8vn+cyxtw4V7I3O876bh6M+GAcjkXEefzoQY04Bw8ZoRHnhXOhBG3dwPVrl0mIj+PzKTNp0erFUsX4+87t2fsbh6NTHYaNHI2HVyOd6c//F8rKpYuJCL+BnZ09fQa8TpfuvTXS/H30EOvXrtAo55atSxdfTozbAzdmx+jC8CJiPKeO8aY6xq7de6n/Hn7rBuvXrSTs2hVioqMYNuIjevYZUOr47No2o+6E4Vj7elGpZjVO9f+QqB37Cl/nxeZ4fP8FFh6upN6NJsx/GeEBGzTSOPTtTINpn2Bez4mHYeFc/moeUUF7Sx1njs7NjHnBwxBzUwXhUVkEHkkjKkGpM30zN0Ne72BaYPkXAQ/JyFT9v5WnEa08jbCzVP26ci8+i72n07kUnlWqGDs2MaS5myFmphARo2THsQyiE3XH6OtqwIB2Bdv0r1alqmN0cVDworchtaoYYFVZwdq96Vy8Vbr4QD/aIX04v0u6r+f/C2XV0kVEhN/E1q4KfQYM1hpjUWVcEvpQjqAfx6Q+xKgv9a0PcerDdVCFppDf0J8lKe1iqlq1Kubm5uUdRrkICwujRo0atG7dGgcHB4yMjLCzs8PS0vKZxXDk0AGWBfzEwEFvMP/Hn/Hw9Mbvq0nEREdpTX/vXiR+X03Gw9Ob+T/+zGsD32DpkkUc++twgbTRUVGsXLYED0/dnRQlsX3Len7bton33h/LN/OWYGNrx/QpE3j08KHOdS5fPMfcOX6079AZ/4XLVf/OmcaVSxfUaY4e3s/KpQvpP+htvl+wlIZejZg5daLOMtD3GFVx/srObZsY/v5Y5swLyI5zfLHibNehC/4LV9CuQxfmzpmqEefjx49xqVOP4e+PLVVcOf5S7+9b+C9YRkMvb76e+rnO/Y26F8nXU7+goZc3/guW0W/Qmyxf8iN/Hz2UJ/7z+GeX89yFy7SWc0ljXLF0EQMGvYX/gqV4eDViRiF1oopxEh5ejfBfsJT+WmJMTU2lukNN3h46Eltbu1LFlZdhZXOSz17m/CfF69Qzc6lN898CiP/rNH8178O1b37Gc95kHPp2VqexadmYJr/O484vQRxp2ps7vwThu34+Ni10XzQWx8uNjWjnY8S2I+n8sPUxyQ+VjOxpimkR/ayPUpX4rXqo8cr5wg6QlKJk9/E05m95zPwtj7l2J4uhXU2pblvyYZztGhnSxsuQ3/7OYPGOdFIeKRnW1RiTImJ8nKZk1q+pGq+8MZoYKbgXr+S3vzNKHJM2Fb0d0ofzu6T7GnUvkplTJ9LQqxHfL1hK/0FvsWLJgnwxFl3GJaEP5Zijoh+T+hCjvtS3vsRZ0a+DhMirQnQsbNmyBW9vb8zMzKhSpQqvvPIKDx48YOjQofTp0wc/Pz+qVauGlZUVo0aNIi0tTb2uUqnk22+/pW7dupiZmeHj48OWLVs08r9w4QLdu3fHwsKC6tWr8/bbbxMbG6v++4MHDxgyZAgWFhbUqFEDf3//AjHmvxVCoVCwbNky+vbti7m5Oa6uruzYsUNjnR07duDq6oqZmRkvv/wyq1evRqFQkJiYWOyy+fPPP2nYsCEWFhZ07dqVyMhI9d9OnjxJp06dsLe3x9ramvbt2/Pvv/9qrJ+UlMTIkSPV5dehQwfOnDmj/ntOGec1duxYXnrpJfXfx4wZQ3h4OAqFAhcXF6DgrSKRkZH06NEDMzMz6tSpw6+//lqmt48EbdvKK5270rlrdxydnBkx6kPsq1Zj967ftKb/Y/dOqlarxohRH+Lo5Eznrt15pVNXtgVu1kiXmZmJ/3ezGPzWOzjUqPHEcSqVSnYGbab/oLdp2aYdTi51GTN+EqmpqRw5pPuX0p1BW/Bp0pR+A9+itqMz/Qa+hbdPU3YG5cb727ZNdOjcnVe6vEptJxeGjRxDFfuq/Lk76LmLMSfOXUGb6TfobVq2aZ8d55fZce7Rud6uoM00atKMfgPfolaeOHflidO3WUsGDxlByzbtSxxXXr9t20zHzt3p1OVVajs5M3zkGKrYV9O5v3/u3oF91WoMHzmG2k7OdOryKh06dSMocGNunkFb8GnSjP4D36S2ozP9B76Jt48vO4O2aM2zKDvUMfbA0cmZ4SNHU8W+Gn/s3qE1fW6Mo3F0cqZTlx506NSN7YGb1GlcG7gzdPj7vNi+A0ZlMHIp5s/DXJk6n3vbdddrXs4jX+dxeCQXJswi5dJ1IlZsIWJVIHXHD1OnqTPmHWL3HiPs2wAeXL5O2LcBxO4/jsuYd54o1hcbGbPvdDrnbmRyL17Jhv1pmBgpaOJa9ADA+480X3lduJXJpfAsYpOUxCYp+eOfdNLSwbl6yT+mW3sacvBMJudvZRGVoGTzoQyMjaBx3cLzUioh5ZHmK68rt7PYc1qV75PSh3ZIH87vku5r8O4g7KtWY9jIMdR2cuGVLq/SoVN3dgTmjvYpThmXLMaKX46gH8ekPsSoL/WtD3Hqw3WQEHmVe8dCZGQkgwcPZtiwYVy8eJGDBw/Sr18/lErVkM19+/Zx8eJFDhw4wPr169m2bRt+fn7q9adMmcLKlSv56aefOH/+POPGjeOtt97i0KFD6vzbt29P48aNOXXqFH/88QdRUVEMHDhQncdnn33GgQMH2LZtG8HBwRw8eJDTp08XGbufnx8DBw7k7NmzdO/enTfffJP4+HgAbt68yYABA+jTpw+hoaGMGjWKyZMnl6hsHj58yPfff8/atWs5fPgw4eHhfPrpp+q/379/n3feeYcjR45w/PhxXF1d6d69O/fv3wdUDVKPHj24d+8eu3fv5vTp0/j6+tKxY0d1nEX54YcfmD59OrVr1yYyMpKTJ09qTTdkyBDu3r3LwYMH2bp1KwEBAURHR5dof3VJT0/n2rUrNPFtprG8SZOmXLqovRf40sULNGnSVDN902Zcu3qFjIzcX9s2rl+HtbUNnbt0K5NYo+5FkpgQj0+eWI2NTfD08uHyxXM617ty6Tw+TZprLGvs25zLF88DqjIIu3aFxvnS+Pg2LzRffY0RIFodZ25+xsYmeJQiTh/fFqWKoTCq/b2stUwuZZeJttga++ZP34Kwq5fVx+WVS+cLlGET3xY68yw6xis0bqJ57jT2bcYlHeVx+dIFGuc/13yba8RY3mxaNiZm71GNZTHBR7Bu6oXCSPUF37ZlY2L3/qWRJnbPEWxbNSn1du0sFVhVVnD5du7P+JlZEHY3ExeHwj9OTYxh8luVmPJ2JYZ1M6Wmve6RCAoFNK5viIkx3Ioq2Zd4W0uwMldw9U7ueplZcONeFk5FdFKYGMNng0yY+LoJQzoZUaPK05v0qqK3Q/p1fhd/Xy9fOq/RpqpibF4gxsLKuOQxVuxyzFHRj0l9iFFf6ltf4qzo10F6wcCg/F7/g8p9joXIyEgyMjLo168fzs7OAHh75w5JNzExYcWKFZibm+Pp6cn06dP57LPPmDFjBo8ePWLu3Lns37+fVq1aAVC3bl3++usvlixZQvv27fnpp5/w9fVl1qxZ6jxXrFiBo6MjV65coWbNmixfvpw1a9bQqVMnAFavXk3t2rWLjH3o0KEMHjwYgFmzZvHjjz/yzz//0LVrV37++Wfc3Nz47rvvAHBzc+PcuXPMnDmz2GWTnp7Ozz//TL169QAYPXo006fnDhXu0KGDRvolS5Zga2vLoUOHePXVVzlw4AD//fcf0dHRmJqq7u/9/vvv2b59O1u2bGHkyJFFxmBtbY2lpSWGhoY4ODhoTXPp0iX27t3LyZMnadZM9WG3bNkyXF1ddeabmppKamqqxrK01FRMTAveh5ycnERWVhY2NraasdnakpigvYMkMSEea1vN9DY2tmRmZpKcnISdXRUunD/Hnj9/54eFS3TGWVI58djYaA4Pt7axJSZG93DCxIR4bPLHm2f/7icnkZWViXW+fG1sdJeBPscIkJAQpzVOGxs7YmLulTrOsnJf13FZyP4mJMTT2Kbw41LbsVvYsV6aGFV1kqAzxiZFxFjeTKvbkxoVq7EsLToOA2NjTOxtSb0Xg6mDPalRcRppUqPiMHWoWurtWpqrvmin5BuBmvIIbC10fwmPTlSycX8akfFZVDJR8KK3EaP7VGLu5sfEJuXOe+Bgp2BMv0oYGUJaOqz6I7XQuRu0xmiWHeMjzfVSHoFNITHGJCrZejiDewlKKhmrRj2MetWYH7elE5dcshiKo6K3Q/pzfpdsXxMT4rXskx2ZmZncT07CNjvGsmpD9aEcc1T0Y1IfYtSX+taXOCv6dZAQ+ZV7x4KPjw8dO3bE29ubLl260LlzZwYMGIBt9gnh4+OjMbdBq1atSElJISIigujoaB4/fqzuEMiRlpZGkyaqX6VOnz7NgQMHsLCwKLDtsLAwHj16RFpamrpjAsDOzg43N7ciY2/UKPde3cqVK2Npaan+lf7y5cs0b67ZW9iiRYsi88zL3Nxc3akAUKNGDY1RANHR0Xz11Vfs37+fqKgoMjMzefjwIeHh4YBq31NSUqhSRfOLwKNHjwgLCytRLIW5fPkyRkZG+Pr6qpfVr19fXYfazJ49W2PkCcBHY8Yy5pPxOtdR5H9kjFJZ6GNk8v8lZxSMAgUPHz5k7vdzGP3xeKysrXXmUZTDB/awZGHurTNfTpujPVaUKApEVHjEqt3TXKatCIp6lI4+xKiKM5iAPHFOmvaN9vyKEWf+vyuVSi37Wza0HZeFbSp/eiU5x2WeNFrjf6Ig84dYyhgr0GOblPm+7ObEnHe5tjT5lxWiiashA9qbqN8v36XqDM0pD41wCsknPCqL8KjclDcj0xj7WiXaeBkRdDRdnS4mUcncTY8xM1XgXVc14eNPQY8L7VzwqWdAnza5H+VrgtO1BlTU8RMRoyQiJnelW1EZfNTHmFYeBuw8nlnImsWjL+1QgS3pwfld0n3VVuZaUhXI80na0IpYjvpwTOpDjFq3VAHruzjbLe849fU6qEL7X9znclTuHQuGhobs2bOHY8eOERwczI8//sjkyZM5ceJEoespFAqyslRDPXft2kWtWrU0/p7zC31WVhY9e/bkm2++KZBHjRo1uHr1aqljz/9UhLwxaTuBlSW4oNWVf948hg4dSkxMDPPnz8fZ2RlTU1NatWqlnoMiKyuLGjVqcPDgwQJ55zzK0sDAoEBc6enpBdIXRtd+Fba/kyZNYvx4zU6EW7e13zphZWWNgYEBCfl6WpMSEwv0NuewsbUr8ItsUlIihoaGWFpZEX7rJtFR95jhN6VAvH1e7cxPS1dRo0ZNnfHnaP5CG1zdGqrf55RdQkIctnl+2U1KTCzQe1ww3vz7l4B19v5ZWlljYGBYME1Sgs4y0KcYVXG2xdXNQ/0+Qx1nPLZ29prbLCJObceKdTFiKAlLXcdlUmKBX31y2Gotw5zjUtXBpa2ckxN151mcGLXVia7ysNVRfjnnTkWQGhVbYOSBSVU7stLTSYtLVKW5F4upg71GGtNqdgVGOhTmws1M5kY9Vr83MlT9a2mu4P7D3PbNwqzgCIHCKIGI6Cyq2mgOlczMInt0gJLbMVk4VjOgrbcRWw/rbpMvhmcREZ0775CRoepzx8Jcwf08MVWuVPIY78QqqWJlADx5x4K+tEM59Of8Ltm+am8fE4qMMW8ZlzzGilmO+nBM6kOMeVXk+taHOPXtOkiI/CrEDSAKhYI2bdrg5+dHSEgIJiYmbNu2DYAzZ87w6FHuDFLHjx/HwsKC2rVr4+HhgampKeHh4dSvX1/j5ejoCICvry/nz5/HxcWlQJrKlStTv359jI2NOX78uHobCQkJXLly5Yn2yd3dvcB8BKdOnXqiPPM7cuQIH3/8Md27d8fT0xNTU1ONSSl9fX25d+8eRkZGBfbd3l7VQFWtWlVjQkiA0NDQEsXh7u5ORkYGISEh6mXXrl0rdJJKU1NTrKysNF7aboMAVQdL/foNCA3RnPciNOQ07g09tK7j3tCjQPqQf09R37UBRkZG1HZ04sfFS/lh4RL1q8ULrfBu1JgfFi7B3r54w6XNzM2pUbO2+uXo5IKNrR1nQ3LrOj09nfPnzuDW0EtnPg3cPTkTqnl8nAk5iVtDT3UZ1KvfgDMhmmnOhpwqNF99iVFbnLV1xHmhGHGeDdU891RxFh1DSaj2163A/p4JOYV7dploi61g+pPUc3XDKHtuAG3lHBpyUmeeRcdYsE7OhJzGXUd5uLl7cKbAuXZKI8bylng8FPuOrTWWVe3UlqTT51Bm3+uacDwU+45tNNLYv9KWhL9DKK7UdNUX/ZxXVIKS5AdKGtQ2VKcxNIB6NQ25ea9kcyHUsleQ/KDwL/oKcjsKdElLh/j7ua/oRCXJD5XUr5n78W5oAHUcDAgv4XwNNew0OyeehL60Qzn0+fwubF/d3D01yjxn+0XFmLeMSx5jxSxHfTgm9SHGvCpyfetDnPp2HSREfuXesXDixAlmzZrFqVOnCA8PJzAwkJiYGBo2VPXQpqWlMXz4cC5cuMDvv//O1KlTGT16NAYGBlhaWvLpp58ybtw4Vq9eTVhYGCEhISxatIjVq1cD8NFHHxEfH8/gwYP5559/uH79OsHBwQwbNozMzEwsLCwYPnw4n332Gfv27ePcuXMMHToUgyecdGPUqFFcunSJiRMncuXKFTZt2sSqVauAJxtOmFf9+vVZu3YtFy9e5MSJE7z55puYmZmp//7KK6/QqlUr+vTpw59//snNmzc5duwYU6ZMUXdydOjQgVOnTrFmzRquXr3K1KlTOXeuZJO7uLu788orrzBy5Ej++ecfQkJCGDlyJGZmZmW2r7379mfPn7+zJ/h3IsJvsSxgMTEx0XTr3hOA1SuXMe/7Oer0Xbu/SnR0NMsDfiIi/BZ7gn9nb/Af9O33GqCau8PZpY7Gq7KFBWZmZji71CkwWqS4FAoFr/Z+ja2bfuHEscOE37zOwnmzMTU15cX2r6jTLfCfybpVAer3PXoN4My/p9i2+VduR9xi2+ZfORt6mld7v6ZO07PvQPYF72Jf8C5uh99kZcBCYmOi6dy913MXY06cPXq/RuCmdeo4F6njzL39aYH/TH5ZlTtPRnd1nL9wJ+IW2zb/wn+hp+iRJ85Hjx5yI+wqN8JUI5ai7kVyI+xqiR+r1bPva9n7u5vb4bdYEbCQ2Jgo9f6uWxXAD/6587t06d6LmOgoVi5dxO3wW+wL3s2+4N307jdInebVXv0J/fckgdnlHKgu5wElK8Bsvfq+xt7g3ewN3k1E+C1WBCwiNiaKLtnnztpVS7XGuGLpIiLCb7E3O8Y+/XInvE1PT+dG2DVuhF0jIyODuLhYboRdI/LunVLFaFjZHCsfd6x83AEwr1MbKx93KjmqntTi9vV4fFbmjjq7FbABM+eaNPzuCyzc61J7aH8c3+3P9bkr1GluLlyDfac21P10BJXd6lL30xHYd2zFzR9XlyrGHEfOptPR1xivOoY42CkY1MGEtAwlIVdzJ7Z8vYMJ3V7IbUM6NTOigaMBdpYKalZRMPAlE2pWMeDvC7nrdHvBmDo1DLC1VOBgp6BrC2Pq1TTg3zz5Ftex85m85GOIh7MB1W0VDGhnRHoGhF7P7VgY0M6Izs1yO0g6NDHEtZYCW0tVh0K/F1WTN/5zMXe0gomR6m817FTtup2F6v/WlUscol60Q/pwfhe1r+tWBbDAP3dup87de2fHuJDb4TfZF7yL/cG76dXvdXWa4pRxyWKs+OUI+nFM6kOM+lLf+hCnPlwHVXgKg/J7/Q8q95+frKysOHz4MPPnzyc5ORlnZ2f8/f3p1q0bGzdupGPHjri6utKuXTtSU1N5/fXXmTZtmnr9GTNmUK1aNWbPns3169exsbHB19eXL7/8EoCaNWty9OhRJk6cSJcuXUhNTcXZ2ZmuXbuqOw++++47UlJS6NWrF5aWlkyYMIGkpKQn2q86deqwZcsWJkyYwA8//ECrVq2YPHkyH3zwgfo2jSe1YsUKRo4cSZMmTXBycmLWrFkaT41QKBTs3r2byZMnM2zYMGJiYnBwcKBdu3ZUr14dgC5duvB///d/fP755zx+/Jhhw4YxZMgQ/vvvvxLFsmbNGoYPH067du1wcHBg9uzZnD9/nkqVKpXJvr7Y/mXu309m46/riI+Px9nFha/8ZlEtez8SEuKJicm9lcLBoQZTp89kWcBP7Nq5A7sqVRgx6iNat21XJvEUps+AwaSlpRKweB4PUlJwdWvIVzO+xyzPXCGxMdEo8jQ67h5ejJ/4Fb+uXc6Gdcup7lCT8ROn0cA9d0RGm3YduJ+cxOb1a0iIj8PJuQ5f+n1DtWraJ9XU9xhVcb5BWloqSxfPVcf5fzP888UZhUGeDix3D2/GTZzK+rXL2Jgd57h8cYZdvcy0SZ+o369ethCAlzp2ZfT4L4sdX9t2HbifnMym9atJiI/HybkOk/Psb0J8HLF5JtSq7lCDKX5zWLF0Eb/v3I5dlSoMHzWGVnke95RTzuvXLmfDuhVUd6jJhIlTNeIvidwY12TH6MIUvzkaMeY9d1Qxzmbl0sX8vjNIa4wJ8XGM/3iE+n1Q4EaCAjfi6e3D13PmlzhG66ZetNq3Vv3e43tVHUSsCeTs8EmY1qiKmWPu42Af3bzNyZ4j8fCfhPMHb5J6N5rz42Zyb1twbox/hxDy5njc/Mbi5vcxD8MiCHljHIn/nC1xfHkdCM3A2EhBvxdNMDOF8Ogslu5MJTXP3Qq2FgqNqRzMTBS81t4ES3MFj9PgTkwWi4NSiYjO/aJvYaZgcAcTrCqr0tyNy2LprlSu3i75ox0Pn83E2BB6tTbCzARuxyhZ+afq8ZU5bPLFWMkE+rQ1xtKM7O0rCdiVzu3Y3ES17BWM6JE750SPlqpLiNNXMtl6pOQdIBW9HdKH87uofVXFqHl+T/b7hpVLF/JHdozDRn2sNcbCyrgk9KEcc1T0Y1IfYtSX+taXOCv6dZAQeSmUJb3x/xkaOnQoiYmJbN++vbxDKRMzZ87k559/JiIiorxDeepu376No6Mje/fupWPHjsVa53KYfpRLurJ0oxmEJmVFmgiwEAaU/Ivds6YodOrAiuFGw5fLO4RiObCg+LdKlBcTE8OiE5WzN9prf+pIRaMP544+tJX6UI6gH2WpD/SlvvVBVvkPHi+Sd/3q5R1CqT3es6rctl2p09By23Z5KfcRC8+zxYsX07x5c6pUqcLRo0f57rvvGD16dHmH9VTs37+flJQUvL29iYyM5PPPP8fFxYV27Z7+CAEhhBBCCCGEEOVHOhaeoqtXr/L1118THx+Pk5MTEyZMYNKkSQB069aNI0eOaF3vyy+/VN/KoS/S09P58ssvuX79OpaWlrRu3Zpffvml1HMVCCGEEEIIIUSpPeGceaJkKvStEM+zO3fuaDztIi87Ozvs7Er3CB19JrdC/G/RlyGpcitE2ZBbIcqO3ApRdvTh3NGHtlIfyhH0oyz1gb7Utz6QWyGersf71pTbtit1HFJu2y4vMmKhnNSqVau8QxBCCCGEEEIIIZ6YdCwIIYQQQgghhHiuKMvosfeieCr++BshhBBCCCGEEEJUWDJiQQghhBBCCCHE80Uhv6E/S1LaQgghhBBCCCGEKDXpWBBCCCGEEEIIIUSpya0QQgghhBBCCCGeL3IrxDMlpS2EEEIIIYQQQohSkxELQgghhBBCCCGeK/K4yWdLRiwIIYQQQgghhBCi1GTEghBCCCGEEEKI54vMsfBMSWkLIYQQQgghhBCi1GTEgqgwMpT6cTgqUJZ3CEXK0oM+QwOyyjuE54Y+1PeBBSHlHUKxvPxxk/IOoUinV50v7xCKpC/ndyaG5R1CkQzJLO8Qnhv60Fbqy7mjD5RU/Pvrpb7F80Q/vskJIYQQQgghhBDFJZM3PlMVv+tWCCGEEEIIIYQQFZaMWBBCCCGEEEII8XwxkN/QnyUpbSGEEEIIIYQQQpSadCwIIYQQQgghhBCi1ORWCCGEEEIIIYQQzxWlTN74TMmIBSGEEEIIIYQQQpSajFgQQgghhBBCCPF8Uchv6M+SlLYQQgghhBBCCCFKTUYsCCGEEEIIIYR4rihlxMIzJaUthBBCCCGEEEKIUpOOBSGEEEIIIYQQQpSa3AohhBBCCCGEEOL5Io+bfKaeixELL730EmPHjlW/d3FxYf78+eUWT0VSnmWhUCjYvn17uWxbCCGEEEIIIcSz8VyOWDh58iSVK1cu7zBEGft953aCAjeQEB+Ho1Mdho0cjYdXI53pz/8Xysqli4kIv4GdnT19BrxOl+69NdL8ffQQ69eu4F7kXRxq1OSNIe/RsvWLz32cSqWSTb+uZO8fv/Eg5T713TwY8cE4HJ3rFLre8aMH2bB2uTqOwUNG8ELrduq/XzgXStDWDVy/dpmE+Dg+nzKTFq1KF6c+lKO+xKmq71Xsya5vVzcP3vtgLE5F1PffRw9p1PcbQ97TqO/z584QtHU9169dya7vr3mhlPWdo3MzY17wMMTcVEF4VBaBR9KISlDqTN/MzZDXO5gWWP5FwEMyMlX/b+VpRCtPI+wsVb9c3IvPYu/pdC6FZxU7Lru2zag7YTjWvl5UqlmNU/0/JGrHvsLXebE5Ht9/gYWHK6l3ownzX0Z4wAaNNA59O9Ng2ieY13PiYVg4l7+aR1TQ3mLHpUt7bwN86yuoZAJ34uD3k5nEJBVvXU9nBf3bGnIpIotNhzXLyNIMOjYxoH5NBcaGEJcMv53IJDK+ZPH9vnM72wM3Zp83Lgwv4rw5pz5vbqrPm67de6n/Hn7rBuvXrSTs2hVioqMYNuIjevYZULKgtNCXtrKil6U+xAj6U98V/TNHH2IE/fhs1JeyrKhk8sZn67ks7apVq2Jubl7eYYgy9Nfh/axcupD+g97Cf8EyGnp58/XUz4mJjtKaPupeJF9P/YKGXt74L1hGv0FvsnzJj/x99JA6zeWL5/Gf40f7Dp2Zu3AZ7Tt0xn/ONK5cuvDcx7l9y6/s3LaJ4e+PZc68AGxs7Zg+ZTyPHj7Uuc7li+eYO8ePdh264L9wBe06dGHunKkacTx+/BiXOvUY/v7YUscG+lOO+hLn9i3r+W3bJt57fyzfzFuSXd8TilXf7Tt0xn/hcq1xpD5+hEud+rz3hPWd4+XGRrTzMWLbkXR+2PqY5IdKRvY0xdS48PUepSrxW/VQ45XTqQCQlKJk9/E05m95zPwtj7l2J4uhXU2pblv8IZKGlc1JPnuZ859ML1Z6M5faNP8tgPi/TvNX8z5c++ZnPOdNxqFvZ3Uam5aNafLrPO78EsSRpr2580sQvuvnY9NC90VjcbT2UNCyoYLfT2Wx7I9MUh4peauDISbF+CnBujJ08jXgVnTBzpxKJvBuZ0OysuDXA5ks3pnJnn+zeJxWsvj+OryfFUsXMWDQW/gvWIqHVyNmTJ1YxHkzCQ+vRvgvWEp/LedNamoq1R1q8vbQkdja2pUsoELoQ1tZ0ctSH2LMoQ/1XdE/c/QhxhwV/bNRn8pSCChFx8KWLVvw9vbGzMyMKlWq8Morr/DgwQOGDh1Knz598PPzo1q1alhZWTFq1CjS0nKvOJRKJd9++y1169bFzMwMHx8ftmzZopH/hQsX6N69OxYWFlSvXp23336b2NhY9d8fPHjAkCFDsLCwoEaNGvj7+xeIMf/wf4VCwbJly+jbty/m5ua4urqyY8cOjXV27NiBq6srZmZmvPzyy6xevRqFQkFiYmKRZbJq1SpsbGzYuXMnbm5umJubM2DAAB48eMDq1atxcXHB1taWMWPGkJmZe7W7bt06mjVrhqWlJQ4ODrzxxhtER0er/37w4EEUCgX79u2jWbNmmJub07p1ay5fvlwg9mbNmlGpUiXs7e3p16+fxt8fPnzIsGHDsLS0xMnJiYCAAPXfbt68iUKhYNOmTbz44ouYmZnRvHlzrly5wsmTJ2nWrBkWFhZ07dqVmJgY9XonT56kU6dO2NvbY21tTfv27fn333+LLKvS+m3bZjp27k6nLq9S28mZ4SPHUMW+Gn/uDtKa/s/dO7CvWo3hI8dQ28mZTl1epUOnbgQFbszNM2gLPk2a0X/gm9R2dKb/wDfx9vFlZ9AWrXk+L3EqlUp2BW2m36C3admmPU4udRkz/ktSU1M5cmiPzvV2BW2mUZNm9Bv4FrUcnek38C28fZqyK2izOo1vs5YMHjKClm3alyq2HPpQjvoSp1KpZGfQZvoPepuWbdpl1/ek7PrW/cv4zqAt+DRpSr+Bb1E7T33vzFffbwx5j5Zt2unMpyRebGTMvtPpnLuRyb14JRv2p2FipKCJa9HfiO8/0nzldeFWJpfCs4hNUhKbpOSPf9JJSwfn6sX/CIz58zBXps7n3nbd50heziNf53F4JBcmzCLl0nUiVmwhYlUgdccPU6epM+YdYvceI+zbAB5cvk7YtwHE7j+Oy5h3ih2XNi+4G3DkXBaXIpTEJEHQ31kYG4GXS+EdKQoF9G1tyMGzWSTcL9ix0MbDgOSHsON4FnfjIOkB3IhSkpBSsvh2qM+bHjg6OTN85Giq2Ffjj907tKbPPW9G4+jkTKcuPejQqRvbAzep07g2cGfo8Pd5sX0HjIyL6IkqJn1oK/WhLPUhRtCP+taHzxx9iBH047NRX8pSiBwl6liIjIxk8ODBDBs2jIsXL3Lw4EH69euHUqm6ANm3bx8XL17kwIEDrF+/nm3btuHn56def8qUKaxcuZKffvqJ8+fPM27cON566y0OHTqkzr99+/Y0btyYU6dO8ccffxAVFcXAgQPVeXz22WccOHCAbdu2ERwczMGDBzl9+nSRsfv5+TFw4EDOnj1L9+7defPNN4mPV43dvHnzJgMGDKBPnz6EhoYyatQoJk+eXJKi4eHDhyxYsIANGzbwxx9/qMtm9+7d7N69m7Vr1xIQEKDRkZKWlsaMGTM4c+YM27dv58aNGwwdOrRA3pMnT8bf359Tp05hZGTEsGG5F6a7du2iX79+9OjRg5CQEHUnRF7+/v40a9aMkJAQPvzwQz744AMuXbqkkWbq1KlMmTKFf//9FyMjIwYPHsznn3/ODz/8wJEjRwgLC+Orr75Sp79//z7vvPMOR44c4fjx47i6utK9e3fu379fonIrjvT0dMKuXcanSXON5Y19m3Pp4nmt61y5dJ7GvvnTtyDs6mUyMjJy0+TLs4lvC515Pi9xRt+LJDEhHp882zU2NsHDy4fLF8/pXO/KpfMF9s3Ht0Wh65SGvpSjvsQZpa7v3HbB2NgEz1LUd2Pf5lwuZRxFsbNUYFVZweXbuZ2vmVkQdjcTF4fCP6pMjGHyW5WY8nYlhnUzpaa97i/QCgU0rm+IiTHciir+rRAlZdOyMTF7j2osiwk+gnVTLxRGqo4S25aNid37l0aa2D1HsG3VpPTbtQBLMwXXI3M7BjKz4FaUEseqhXcstPMy4GGqktAw7beeNKit4G6ckgFtDZjQ35AR3QxpUq9kE2OpzpsrNG6i+TnV2LcZl3Qcj5cvXaCxr2b6Jr7NNc6bp0E/2sqKXZb6EGMO/ajviv2Zow8x5qjon436VJYVmkJRfq8SWrx4MXXq1KFSpUo0bdqUI0eO6EwbGBhIp06dqFq1KlZWVrRq1Yo///xTI82qVatQKBQFXo8fPy5xbMVVojkWIiMjycjIoF+/fjg7OwPg7e2t/ruJiQkrVqzA3NwcT09Ppk+fzmeffcaMGTN49OgRc+fOZf/+/bRq1QqAunXr8tdff7FkyRLat2/PTz/9hK+vL7NmzVLnuWLFChwdHbly5Qo1a9Zk+fLlrFmzhk6dOgGwevVqateuXWTsQ4cOZfDgwQDMmjWLH3/8kX/++YeuXbvy888/4+bmxnfffQeAm5sb586dY+bMmcUum/T0dH766Sfq1asHwIABA1i7di1RUVFYWFjg4eHByy+/zIEDBxg0aBCARgdB3bp1WbBgAS1atCAlJQULCwv132bOnEn79qpe7i+++IIePXrw+PFjKlWqxMyZM3n99dc1OnB8fHw0YuvevTsffvghABMnTmTevHkcPHgQd3d3dZpPP/2ULl26APDJJ58wePBg9u3bR5s2bQAYPnw4q1atUqfv0KGDxjaWLFmCra0thw4d4tVXXy12uRXH/eQksrKysLGx1VhubWNLYoL2G3sTEuJpnC+9jY0tmZmZJCcnYWdXhcSEeKxt8+VpqzvP5yXOhIS47O1oDh+1sbEjJuaezvUSE+KxyReHzRPEoYu+lKO+xJmzXv76traxJSZG+3DKnPWeRX3nsDRXfQin5BuBmvIIbC10f0BHJyrZuD+NyPgsKpkoeNHbiNF9KjF382Nik3K/IDvYKRjTrxJGhpCWDqv+SC107oYnZVrdntSoWI1ladFxGBgbY2JvS+q9GEwd7EmNitNIkxoVh6lD1VJv16KS6t+UfNcNKY/BppCphxyrQpP6CpbsztSZxtYCmjVQcPyikr/OZ1KzioKuzQzIzMri7I3ilaWu88bGxpbEhASt6yQkxNOkiPPmadDXtrIilaU+xJi7Xf2s74r0maMPMeao6J+N+lSW4slt3LiRsWPHsnjxYtq0acOSJUvo1q0bFy5cwMnJqUD6w4cP06lTJ2bNmoWNjQ0rV66kZ8+enDhxgiZNcn+csLKyKjDSvVKlSk9tP0rUseDj40PHjh3x9vamS5cudO7cmQEDBmCbfYD6+PhozG3QqlUrUlJSiIiIIDo6msePH6s7BHKkpaWpC+D06dMcOHBA40t1jrCwMB49ekRaWpq6YwLAzs4ONze3ImNv1Cj3ntXKlStjaWmpvu3g8uXLNG+u2XvXokWLIvPMy9zcXN2pAFC9enVcXFw09qV69eoatzqEhIQwbdo0QkNDiY+PJytL9etZeHg4Hh4eWmOvUaMGANHR0Tg5OREaGsqIESMKjS3v+gqFAgcHB4048qepXr06oNlplD/26OhovvrqK/bv309UVBSZmZk8fPiQ8PDwQmPJkZqaSmpqqsaytNRUTEwLTsKWN3YNSmWhHYL50ytRXfjmXaogX5oi8iyOihbn4QPBBCzMvWVo0rRvsrebL0yUBbZTIFatcTydR/lUtHIs7nbLO87DB/awJE99fzltjvY4i1HfFIhDWz6l08TVkAHtTdTvl+9KzY6q4BfUwr6yhkdlER6Vm/JmZBpjX6tEGy8jgo6mq9PFJCqZu+kxZqYKvOuqJnz8KejxU+1cQJkv75yyy7tcW5r8ywrh5aLg1Ra5IzrWH8zuGNCWrY48TIygT2tDdp7I4lGqjkSojoa78bD/jOqz6l6CkqrWSpq5GnD2hu4OCe2ZaTu2Ckuu67wpu/ZHX9vKiliWWjaquc0KEKO+1ndF+8zRlxj15bOxwJYqYFnqFT2ZvHHu3LkMHz6c9957D4D58+fz559/8tNPPzF79uwC6fM/8W/WrFkEBQXx22+/aXQs5Hzve1ZK1LFgaGjInj17OHbsGMHBwfz4449MnjyZEydOFLqeQqFQf2netWsXtWrV0vi7afaXyaysLHr27Mk333xTII8aNWpw9erVkoSrwTjfPXh5Y9L2AaAswYWdrvwL2+aDBw/o3LkznTt3Zt26dVStWpXw8HC6dOmiMS9F/rxz4szJx8zMrFSx5axf2DbyL8u7ztChQ4mJiWH+/Pk4OztjampKq1atCsSuy+zZszVGWQB8MGY8H338aYG0llbWGBgYkJCvNzUpKRFrG+2TNtna2hXofU1KTMTQ0BBLK2sAbLSkSU7UnWdRKmqczV9oi6tbbkdVRrrqy1ZCQjy2dvZ5tptQoBc7Lxtbu4L7lpiItY3udUqjopajvsTZ/IU2uLo1VL9PV9d3HLZ5fulLSkws8KtLXtriSEpMKLP6vnAzk7lRuT+rGxmq/rU0V3D/YW77a2EGKY+K3x4rgYjoLKraaF5MZGZBXLISUHI7JgvHaga09TZi6+F0rfk8qdSo2AIjD0yq2pGVnk5aXKIqzb1YTB3sNdKYVrMrMNKhMFduK1kSm/ulPqccLcw0Ry1UNoUHOkY/2lqqRoW83j63zHI+EqcMNmTRb5kkpMD9xxCTpFkXsclKGjoV/4o057wpcGwl6T62bHW0ParzxqrY2y6KvraVFbEs9SFGfa3vivaZoy8x6stnY46KXJaieLT9iGpqaqr+3psjLS2N06dP88UXX2gs79y5M8eOHSvWtrKysrh//z52dpr1mJKSgrOzM5mZmTRu3JgZM2ZodDyUtRJ34ygUCtq0aYOfnx8hISGYmJiwbds2AM6cOcOjR7mzZh0/fhwLCwtq166Nh4cHpqamhIeHU79+fY2Xo6MjAL6+vpw/fx4XF5cCaSpXrkz9+vUxNjbm+PHj6m0kJCRw5cqVJyoEd3d3Tp48qbHs1KlTT5RnUS5dukRsbCxz5szhxRdfxN3dvcAoguJo1KgR+/YV/sizp+HIkSN8/PHHdO/eHU9PT0xNTTUm2SzKpEmTSEpK0niNGDVGa1pjY2Pq1XfjTIhmnZwJOYV7Q0+t6zRw99SS/iT1XN0wyr6/uYG7J2dCNdOEhpzUmWdRKmqcZubm1KhZW/2q7eSCja0dZ/NsNz09nQvnzuDW0EtnPg3cPTkbqnmenAk5Weg6pVFRy1Ff4sxf34466vt8Meo7fxyq+i5deeWXmq76op/zikpQkvxASYPahuo0hgZQr6YhN++VbC6EWvYKkh8U3hmhAIwMn95PNInHQ7Hv2FpjWdVObUk6fQ5l9r2uCcdDse/YRiON/SttSfg7pNjbScuAhJTcV0wS3H+kpG6N3H0zMADn6goiYrSXSWwS/LQzgyW7M9Wvy7eV3IxSsmR3JknZt6dExCixt9IssyqWCpIeFDvc7POmgZbz4DTuOo5HN3cPzoRozqUUGnJK47wpC/rZVlbMstSHGPWzviveZ46+xKgvn405KnJZ6hOlQlFur9mzZ2Ntba3x0jb6IDY2lszMTPWI8RzVq1fn3j3dt2Hl5e/vz4MHDzTmJXR3d2fVqlXs2LGD9evXU6lSJdq0afNEP9QXpUQdCydOnGDWrFmcOnWK8PBwAgMDiYmJoWFDVQ9gWloaw4cP58KFC/z+++9MnTqV0aNHY2BggKWlJZ9++injxo1j9erVhIWFERISwqJFi1i9ejUAH330EfHx8QwePJh//vmH69evExwczLBhw8jMzMTCwoLhw4fz2WefsW/fPs6dO8fQoUMxMHiyYS6jRo3i0qVLTJw4kStXrrBp0yb1fAJPa2iTk5MTJiYm/Pjjj1y/fp0dO3YwY8aMEuczdepU1q9fz9SpU7l48SL//fcf33777VOIWFP9+vVZu3YtFy9e5MSJE7z55pvFGj2Rw9TUFCsrK41XYbdB9Oz7GvuCd7EveDe3w2+xImAhsTFRdM5+rvW6VQH84J87N0eX7r2IiY5i5dJF3A6/xb7g3ewL3k3vfoPUaV7t1Z/Qf08SuPlXbkfcInDzr5wNPc2rvUv/LGx9iFOhUNCj92sEblrHiWOHCb95nUXzZmNqasqL7XNvVVrgP5NfVi1Rv+/eawBn/j3Fts2/cCfiFts2/8J/oafo0fs1dZpHjx5yI+wqN8JUjVbUvUhuhF3V+WgkXfShHPUlToVCwau9X2Prpl/U9b1QXd+vqNMt8J/JulW5T4zpoa5vVRzb1HHoru/oUtZ3jiNn0+noa4xXHUMc7BQM6mBCWoaSkKu5E7a93sGEbi/kjqbq1MyIBo4G2FkqqFlFwcCXTKhZxYC/L+Su0+0FY+rUMMDWUoGDnYKuLYypV9OAf/PkWxTDyuZY+bhj5aOam8a8Tm2sfNyp5Ki6Pc3t6/H4rMwdbXcrYANmzjVp+N0XWLjXpfbQ/ji+25/rc1eo09xcuAb7Tm2o++kIKrvVpe6nI7Dv2IqbP64ueeHlceJSFm09DXCrraCqNfRuZUB6Bpy7mdux0LuVAR0aqz47M7NUHRJ5X4/TVJ0/MUmQM1jtxMUsatlDW08Fthaq2zB8XRWcvFKyjp9efV9jb/Bu9gbvJiL8FisCFhEbE0WX7j0BWLtqqdbzZsXSRUSE32Jv9nnTp1/uBVR6ejo3wq5xI+waGRkZxMXFciPsGpF375S2GPWirdSHstSHGEE/6lsfPnP0IUbQj89GfSlLoZ22H1EnTZqkM7220fPF+R66fv16pk2bxsaNG6lWrZp6ecuWLXnrrbfw8fHhxRdfZNOmTTRo0IAff/yx9DtVhBJ1/VpZWXH48GHmz59PcnIyzs7O+Pv7061bNzZu3EjHjh1xdXWlXbt2pKam8vrrrzNt2jT1+jNmzKBatWrMnj2b69evY2Njg6+vL19++SUANWvW5OjRo0ycOJEuXbqQmpqKs7MzXbt2VXcefPfdd6SkpNCrVy8sLS2ZMGECSUlJT1QIderUYcuWLUyYMIEffviBVq1aMXnyZD744IMCw1XKStWqVVm1ahVffvklCxYswNfXl++//55evXqVKJ+XXnqJzZs3M2PGDObMmYOVlRXt2pXNo98Ks2LFCkaOHEmTJk1wcnJi1qxZfPppwdsYykrbdh24n5zMpvWrSYiPx8m5DpP9vqFaNdV9QwnxccTmmWynukMNpvjNYcXSRfy+czt2VaowfNQYWuV51JO7hxfjJ37F+rXL2bBuBdUdajJh4lQauHsU2P7zFmefAW+QlpbK0sVzeZCSgqtbQ/5vhj9meeZIiY2JwiBPg+bu4c24iVNZv3YZG9ctp7pDTcZNnKYRR9jVy0yb9In6/eplCwF4qWNXRo//stjx6Us56kucfQYMJi0tlYDF89T1/dWM7/PVdzSKPPci5sTx69rlbMiu7/Fa6nvqpLHq96uWLQJU9T1mvO4PT10OhGZgbKSg34smmJlCeHQWS3emkprnbgVbC4XGFARmJgpea2+CpbmCx2lwJyaLxUGpRETnftm1MFMwuIMJVpVVae7GZbF0VypXbxf/C7F1Uy9a7Vurfu/xvep4jlgTyNnhkzCtURWz7E4GgEc3b3Oy50g8/Cfh/MGbpN6N5vy4mdzbFqxOk/B3CCFvjsfNbyxufh/zMCyCkDfGkfjP2ZIUWwHHLigxNlTSvYUBZiZwJxbW7c8kLU8/inVlRYlv+bsbD5sOZ9GhsQHtvFUjJP48laXRYVEcuefNmuzzxoUpfnM0zpuYmNwRfKrzZjYrly7m951BWs+bhPg4xn+cO99QUOBGggI34untw9dz5pcovrz0p62suGWpDzHm0J/6rrifOfoQY46K/tmoT2UpCtJ224M29vb2GBoaFhidEB0dXWAUQ34bN25k+PDhbN68mVdeeaXQtAYGBjRv3vypjlhQKEt6ZaHD0KFDSUxMZPv27WWRXbmbOXMmP//8MxEREeUdyv+M89ciyzuE50ZWye9yeuYMeHqP+vtfo3yak66VkVV7yv7+7afh5Y+f3r2HZeX0qor/WLABL5T81r7ykIlh0YnKmSElnBhT6KQP9S2fjWVHHz4bFYVOT1wxeNavUXSiCir53z3ltm0r305FJ8r2wgsv0LRpUxYvXqxe5uHhQe/evbXePgGqkQrDhg1j/fr19OnTp8htKJVKWrRogbe3NytWrCgyfWmU/Q11emrx4sU0b96cKlWqcPToUb777jtGjx5d3mEJIYQQQgghhHhOjR8/nrfffptmzZrRqlUrAgICCA8P5/333wdUt1XcuXOHNWvWAKpOhSFDhvDDDz/QsmVL9WgHMzMzrK1VE3X6+fnRsmVLXF1dSU5OZsGCBYSGhrJo0aKnth/SsZDt6tWrfP3118THx+Pk5MSECRPU98F069aNI0eOaF3vyy+/VN/KIYQQQgghhBCi/OnDqBWAQYMGERcXx/Tp04mMjMTLy4vdu3fj7OwMQGRkJOHh4er0S5YsISMjg48++oiPPvpIvfydd95RzxOYmJjIyJEjuXfvHtbW1jRp0oTDhw/TokWLp7YfZXYrxPPszp07Gk+7yMvOzq7Aoz1E6citEGVHboX436IPH5xyK0TZkVshyo4+DI2XWyHKjj7Ut3w2lh19+GyUWyGerqR/95bbtq19C5/z4HkkIxaKoVatWuUdghBCCCGEEEIIUSFJx4IQQgghhBBCiOeKUlHxR/A+T6S0hRBCCCGEEEIIUWoyYkEIIYQQQgghxPNFRiw8U1LaQgghhBBCCCGEKDXpWBBCCCGEEEIIIUSpya0QQgghhBBCCCGeK0pFxX/k6PNERiwIIYQQQgghhBCi1GTEghBCCCGEEEKI54o8bvLZktIWQgghhBBCCCFEqcmIBSGEEEIIIYQQzxeZY+GZkhELQgghhBBCCCGEKDUZsSAqjNQsk/IOoVhMDNLLO4QiGZBV3iEUSYGyvEMolkwMyzuEIulDWZqYVPxyBDi96nx5h1CkpkM9yzuEImVdPFTeIRSLIZnlHUKR9KEN0hf6UN9ZevCbnxL9+BVYH66FhHieSMeCEEIIIYQQQojnikze+GxJaQshhBBCCCGEEKLUZMSCEEIIIYQQQojnir7ctvO8kBELQgghhBBCCCGEKDXpWBBCCCGEEEIIIUSpya0QQgghhBBCCCGeKzJ547MlpS2EEEIIIYQQQohSkxELQgghhBBCCCGeLwqZvPFZkhELQgghhBBCCCGEKDUZsSCEEEIIIYQQ4rmilN/QnykpbSGEEEIIIYQQQpSadCwIIYQQQgghhBCi1ORWCCGEEEIIIYQQzxWlTN74TMmIBSGEEEIIIYQQQpSadCw8oZdeeomxY8eq37u4uDB//vxyi6ek8scvhBBCCCGEEPpOqTAot9f/IrkVooydPHmSypUrl3cYpebi4sLYsWMrbGeDUqlk6/rl7PtzBw9SkqnfwJN335+Ao3PdQtc7cfQAm39ZSlTkHarXqMWgt0fRvFV7rWm3b17DxjU/07XXQN4ZMbZUMW76dRV7/viNByn3cXXz4L0PxuLkXKfQ9f4+eogNa5dzL/IuDjVq8saQ93ihdTuNNH/s3EZQ4AYS4uNxdHLh3ZGj8fDyKXGMv+/cnp1PHI5OdRg2cjQeXo10pj//Xygrly4mIvwGdnb29BnwOl2691b/PfzWDTasW0nYtcvEREfx7oiP6NnntRLHlT/G7YEbs2N0YXgRMZ5Tx3hTHWPX7r00Yly/biVh164QEx3FsBEf0bPPgCeKEXLqeyV7s+u7vpsHIz4Yh2MR9X386EGN+h48ZIRGfV84F0rQ1g1cv3aZhPg4Pp8ykxatXnyCGCv2MZmjYxNDmrsZYmYKETFKdhzLIDpRqTO9r6sBA9oZF1j+1apUMjJV/3dxUPCityG1qhhgVVnB2r3pXLyVVeoY23sb4FtfQSUTuBMHv5/MJCapeOt6Oivo39aQSxFZbDqsGYOlGXRsYkD9mgqMDSEuGX47kUlkfPFjs2vbjLoThmPt60WlmtU41f9DonbsK3ydF5vj8f0XWHi4kno3mjD/ZYQHbNBI49C3Mw2mfYJ5PScehoVz+at5RAXtLX5gWujDcakP7ZA+tEH6Eqf+1HfFPm9y46z49V2W10KgKuf1a1dolHPL1qU/b/Thek2IHP+b3SlPUdWqVTE3Ny/vMJ5bv21dx+7tG3h31Hhmzl2Oja0ds74ay6OHD3Suc+XSfyz49ivavtyVOQtW0/blrvzwzRSuXT5fIG3YlQvs/yMIJ5f6pY5x+5b1/LZtE++9P5Zv5i3BxtaO6VMm8OjhQ53rXL54jrlz/GjfoTP+C5er/p0zjSuXLqjTHD28n5VLF9J/0Nt8v2ApDb0aMXPqRGKio0oU31/qfN7Cf8EyGnp58/XUz3XmE3Uvkq+nfkFDL2/8Fyyj36A3Wb7kR/4+ekidJjU1leoONXh76EhsbO1KFI+uGFcsXcSAQW/hv2ApHl6NmFHIvqpinISHVyP8Fyylv84Ya/L20JHYlkGMObZv+ZWd2zYx/P2xzJkXkF3f44tV3+06dMF/4QradejC3DlTNer78ePHuNSpx/D3x5ZBjBX7mMzRrpEhbbwM+e3vDBbvSCflkZJhXY0xKdhvoOFxmpJZv6ZqvHI6FQBMjBTci1fy298ZpYorr9YeClo2VPD7qSyW/ZFJyiMlb3UwxKQY3fTWlaGTrwG3ogt2lFQygXc7G5KVBb8eyGTxzkz2/JvF47SSxWdY2Zzks5c5/8n0YqU3c6lN898CiP/rNH8178O1b37Gc95kHPp2VqexadmYJr/O484vQRxp2ps7vwThu34+Ni10X9wWR0U/LvWlHdKHNkgf4tSf+q7Y501unBW/vsv6WujyxfP4Z5fz3IXLtJZzecdY1tdrQuSlVx0LW7ZswdvbGzMzM6pUqcIrr7zCgwcPGDp0KH369MHPz49q1aphZWXFqFGjSEvLvSJTKpV8++231K1bFzMzM3x8fNiyZYtG/hcuXKB79+5YWFhQvXp13n77bWJjY9V/f/DgAUOGDMHCwoIaNWrg7+9fIMb8t0IoFAqWLVtG3759MTc3x9XVlR07dmiss2PHDlxdXTEzM+Pll19m9erVKBQKEhMTiyyTW7du0bNnT2xtbalcuTKenp7s3r272PuU10svvcStW7cYN24cCoUCRZ4JT44dO0a7du0wMzPD0dGRjz/+mAcPcr/Mu7i4MGvWLIYNG4alpSVOTk4EBAQUGX9JKJVKft+xiT4D36FF65dwdK7HB+P+j7TUxxw9tEfner8HbcK7cXP6vDaEWo4u9HltCJ4+zdi9Y6NGusePHrLQ348RY76gsoVlqWPcGbSZ/oPepmWbdji51GXM+EmkpqZy5JDuX/d2Bm3Bp0lT+g18i9qOzvQb+BbePk3ZGbRZnea3bZvo0Lk7r3R5ldpOLgwbOYYq9lX5c3dQiWL8bdtmOnbuTqcur1LbyZnhI8dQxb6aznz+3L0D+6rVGD5yDLWdnOnU5VU6dOpGUGBu+bk2cOed4R/Qtn1HjI2L+BZYDDvUMfbA0cmZ4SNHU8W+Gn/s3qE1fW6Mo3F0cqZTlx506NSN7YGbNGIcOvx9XmzfAaMyiBFU9b0raDP9Br1Nyzbts+v7y+z61n1M7graTKMmzeg38C1q5anvXXnq27dZSwYPGUHLNtpH1pQkxop+TOZo7WnIwTOZnL+VRVSCks2HMjA2gsZ1C/+oUioh5ZHmK68rt7PYc1qV75N6wd2AI+eyuBShJCYJgv7OwtgIvFwKKsjMyQABAABJREFUnyBKoYC+rQ05eDaLhPsFOxbaeBiQ/BB2HM/ibhwkPYAbUUoSUkoWX8yfh7kydT73tus+/vJyHvk6j8MjuTBhFimXrhOxYgsRqwKpO36YOk2dMe8Qu/cYYd8G8ODydcK+DSB2/3FcxrxTsuDy0IfjUh/aIX1og/QlTn2p74p+3uTEWdHr+2lcC/0WtAWfJs3oP/BNajs603/gm3j7+LIzaIvWPMsjxrK+XqvolCjK7fW/SG86FiIjIxk8eDDDhg3j4sWLHDx4kH79+qFUqi7Q9u3bx8WLFzlw4ADr169n27Zt+Pn5qdefMmUKK1eu5KeffuL8+fOMGzeOt956i0OHDqnzb9++PY0bN+bUqVP88ccfREVFMXDgQHUen332GQcOHGDbtm0EBwdz8OBBTp8+XWTsfn5+DBw4kLNnz9K9e3fefPNN4uNVY1tv3rzJgAED6NOnD6GhoYwaNYrJkycXu1w++ugjUlNTOXz4MP/99x/ffPMNFhYWxd6nvAIDA6lduzbTp08nMjKSyMhIAP777z+6dOlCv379OHv2LBs3buSvv/5i9OjRGuv7+/vTrFkzQkJC+PDDD/nggw+4dOlSsfelKNFRd0lMiMO7SQv1MmNjExp6NebKpf90rnf10jka5VkHwKfJC1y9qLnOip/9adKsNd6Nm5c6xqh7kSQmxOPj20wjRk8vHy5fPKdzvSuXzuPTRHO7jX2bc/mialRFeno6Ydeu0DhfGh/f5oXmm58qn8tat3XpYsERHDmxNfbNn74FYVcvk5Hx5L8Aa4/xCo2bNNNY3ti3GZd07OvlSxdo7KuZvolv86cWY45odX3nlo+xsQkepahvH98WJarL4qrox2QOW0uwMldw9U7ul//MLLhxLwun6oV/VJkYw2eDTJj4uglDOhlRo8rT+UC3sQBLMwXXI3M7BjKz4FaUEseqhW+znZcBD1OVhIZpv62jQW0Fd+OUDGhrwIT+hozoZkiTek//wsSmZWNi9h7VWBYTfATrpl4ojFTDMGxbNiZ2718aaWL3HMG2VZNSb7eiH5f60g7pQxukD3HqS31X9PMmh37Ud9lfC125dL5AGTbxbaEzz/KIUYinSW/mWIiMjCQjI4N+/frh7OwMgLe3t/rvJiYmrFixAnNzczw9PZk+fTqfffYZM2bM4NGjR8ydO5f9+/fTqlUrAOrWrctff/3FkiVLaN++PT/99BO+vr7MmjVLneeKFStwdHTkypUr1KxZk+XLl7NmzRo6deoEwOrVq6ldu3aRsQ8dOpTBgwcDMGvWLH788Uf++ecfunbtys8//4ybmxvfffcdAG5ubpw7d46ZM2cWq1zCw8Pp37+/uizq1s2da6CofWrQoIFGXnZ2dhgaGmJpaYmDg4N6+Xfffccbb7yhnnfB1dWVBQsWqMutUqVKAHTv3p0PP/wQgIkTJzJv3jwOHjyIu7t7gbhTU1NJTU3VWJaWloqJianOfU1KUHXGWNtoDt2ytrEjNvqezvUSE+O0rpOYkHvj8rHDe7gZdpmv5y7XmU9x5ORpU2B7tsTE6B5OmJgQj42trcYyG1tbdX73k5PIysossB82NrYa+1EUVT5Z2Nhobsu6kHwSEuJpnC+9jY0tmZmZJCcnYWdXpdjbf5IYVfuaoDPGJs8wxtztxmVvK3+92BETU8gxWUR9l6WKfkzmsDRTfYlOeaT5xTvlEdhY6P6CHZOoZOvhDO4lKKlkrBr1MOpVY37clk5csu65GUrDolJ2TI81l6c8BptCptZxrApN6itYsjtTZxpbC2jWQMHxi0r+Op9JzSoKujYzIDMri7M3ynY/8jKtbk9qlOYotrToOAyMjTGxtyX1XgymDvakRsVppEmNisPUoWqpt1vRj0t9aYf0oQ2Cih+nvtR3RT9vcuhrfT/ptVBiQjzW+eK3LmX8+nC9pg/+VydRLC9607Hg4+NDx44d8fb2pkuXLnTu3JkBAwZgm30C+/j4aMxt0KpVK1JSUoiIiCA6OprHjx+rOwRypKWl0aSJ6heX06dPc+DAAfWv/XmFhYXx6NEj0tLS1B0ToPoi7ubmVmTsjRrl3odauXJlLC0tiY6OBuDy5cs0b67Zu9iiheav64X5+OOP+eCDDwgODuaVV16hf//+6u0VtU/5OxZ0OX36NNeuXeOXX35RL1MqlWRlZXHjxg0aNmxYYD8VCgUODg7q/cxv9uzZGiNKAEaO/oxRYyaq3/918E+WLfpW/f7zr75X552XUqlUjTMuTL4/K1Gq84mLiWL10vl8OX1+oR0b2hw+sIclC3Nvifly2hytMaoGYxX162P+/SqYT/5slUotC4uhQHxKZaHZFChzVF90nurvqQXqufBd1R1j2UV5+EAwAXnqe9K0b7K3rZlOWYz6zv93pVKp5bgpTYz6cUz61DOgT5vcj6A1wek5YRWaf34RMUoiYnJXuhWVwUd9jGnlYcDO47q/yBeHl4uCV1vkXpSsP5ipM0ZdX/1NjKBPa0N2nsjiUaqORKhK+m487D+jGrFxL0FJVWslzVwNOHvjyfajSEodhZ53ubY0+ZcVQl+Oy4KbqljtkD60QfoUZ8GNVbT61o/zRl/r+2lcC2mPv2LFKMTTojcdC4aGhuzZs4djx44RHBzMjz/+yOTJkzlx4kSh6ykUCrKyVBdqu3btolatWhp/NzVVfZHMysqiZ8+efPPNNwXyqFGjBlevXi117PnvYcobk7YGU1mCi7X33nuPLl26sGvXLoKDg5k9ezb+/v6MGTOmyH0qrqysLEaNGsXHH39c4G9OTk7q/xe2n/lNmjSJ8ePHayy7EK55M3HTFm2p38BT/T49XTVnRmJCHLZ29urlyUkJBXrZ87KxqaIe7aBeJzEB6+xe3evXLpGcmMCXY3PvKc7KyuTS+VCCd25lbeBBDAwNtebd/IU2uLo1zBOj6stRQkIctnl6hpMSEwv0wmvEaGtXoAc6KU+MllbWGBgYFkyTlFCgN7swqnwMSCiQT6LOMrTVGluianSLlXWxt13SGLXtq7WOfbW1tSu4T+oYrcostuYvtMXVzUP9PkNd3/Eax2RSYkKBXy3ystERr679K1mM+nFMXgzPIiI6dx4cI0NVO2hhruB+nlELlSsVHMVQGCVwJ1ZJFSsD4Mm+kF+5rWRJbG4eRtnNgIWZ5qiFyqbwIN8ohhy2lmBroeD19rkdFDlN/pTBhiz6LZOEFLj/GGKSNPczNllJQ6enezmYGhVbYOSBSVU7stLTSYtLVKW5F4upg71GGtNqdgVGOhRGX47LHBW1HdKHNkif4sxRcetbP84bfa3vsr4W0lbOyYm68yyPGP/XKJ9WJ6TQSq/GhygUCtq0aYOfnx8hISGYmJiwbds2AM6cOcOjR7kzdh0/fhwLCwtq166Nh4cHpqamhIeHU79+fY2Xo6MjAL6+vpw/fx4XF5cCaSpXrkz9+vUxNjbm+PHj6m0kJCRw5cqVJ9ond3d3Tp48qbHs1KlTJcrD0dGR999/n8DAQCZMmMDSpUuLtU/amJiYkJmpeTGek0/+POrXr4+JiUmJYs1hamqKlZWVxiv/aAEz88o41KytftV2qoONbRX+C80tr4z0dC6eC6WBu3f+Tai5untprANwNuQfXBuq1vHyaca3C9cyZ8Eq9atufXfatO/MnAWrdHYqqGI0p0bN2uqXo5MLNrZ2nA3JrcP09HTOnzuDW0Mvnfk0cPfkTKhmvZ8JOYlbQ1XHirGxMfXqN+BMiGaasyGnCs03P1U+bgXyORNyCveGnlrXaeDuqSX9Seq5umFkVPZ9k7r29UzIadx17KubuwdnQjTnOwkNOVXmMeav79o66vtCMer7bL5jUlXfxa/L4sZYUY/JtHSIv5/7ik5UkvxQSf2auR9LhgZQx8GA8KiSTbpYw06zc6K00jIgISX3FZME9x8pqVsj90LFwACcqys0Rk3kFZsEP+3MYMnuTPXr8m0lN6OULNmdSVL2BOkRMUrsrTQvgKpYKkjS/cCbMpF4PBT7jq01llXt1Jak0+dQZt+Tm3A8FPuObTTS2L/SloS/Q4q9HX05LnNU1HZIH9ogfYozh77Ud0U9b/Szvsv+WkhbOYeGnNSZZ3nEKMTTpDcdCydOnGDWrFmcOnWK8PBwAgMDiYmJUQ/DT0tLY/jw4Vy4cIHff/+dqVOnMnr0aAwMDLC0tOTTTz9l3LhxrF69mrCwMEJCQli0aBGrV68GVJMgxsfHM3jwYP755x+uX79OcHAww4YNIzMzEwsLC4YPH85nn33Gvn37OHfuHEOHDsXA4MmKcNSoUVy6dImJEydy5coVNm3axKpVqwBtQ90KGjt2LH/++Sc3btzg33//Zf/+/eoyKWqftHFxceHw4cPcuXNH/fSIiRMn8vfff/PRRx8RGhrK1atX2bFjB2PGjHmifS8phUJBt14DCdq8hpN/HyLiVhg/zf8aE9NKtGmfe5vL4rnTWb/6J/X7br0GcjbkH3ZsWcudiJvs2LKWc2dO0r3XIEDVgeHoXE/jZVrJDAsraxyd65U4xld7v8bWTb9w4thhwm9eZ+G82ZiamvJi+1fU6Rb4z2TdqtynZvToNYAz/55i2+ZfuR1xi22bf+Vs6Gle7Z37bOGefQeyL3gX+4J3cTv8JisDFhIbE03nPM/MLo6efV/Lzmc3t8NvsSJgIbExUep81q0K4Af/3Hk5unTvRUx0FCuXLuJ2+C32Be9mX/BuevcbpE6Tnp7OjbCr3Ai7SkZGBvFxsdwIu0rk3dslii1Hr76vsTd4N3uDdxMRfosVAYuIjYmiS/eeAKxdtVRrjCuWLiIi/BZ7s2Ps0y93olJVjNe4EXaNjIwM4uJiuRF2jci7d0oVI6jqu0fv1wjctE5d34vU9Z17TC7wn8kvq5ao33dX1/cv3Im4xbbNv/Bf6Cl65KnvR48eqssUVJN23Qi7WuJHf+nDMZnj2PlMXvIxxMPZgOq2Cga0MyI9A0Kv53YsDGhnROdmuZ19HZoY4lpLga2lqkOh34uqyRv/uZjbxpkYqf5Ww07VptpZqP5vXci8CLqcuJRFW08D3GorqGoNvVsZkJ4B527mdiz0bmVAh8aqz4bMLFWHRN7X4zRITVf9P2dQ14mLWdSyh7aeCmwtVLdh+LoqOHmlZJ0qhpXNsfJxx8pHNbeNeZ3aWPm4U8lRNUrN7evx+KzMHcV2K2ADZs41afjdF1i416X20P44vtuf63NXqNPcXLgG+05tqPvpCCq71aXupyOw79iKmz+uLnkBZtOH41If2iF9aIP0JU59qe+Kft7kxFnR6/tpXAu92qs/of+eJDC7nAPV5TygZAX4FGMs6+s1IfLSm+4rKysrDh8+zPz580lOTsbZ2Rl/f3+6devGxo0b6dixI66urrRr147U1FRef/11pk2bpl5/xowZVKtWjdmzZ3P9+nVsbGzw9fXlyy+/BKBmzZocPXqUiRMn0qVLF1JTU3F2dqZr167qzoPvvvuOlJQUevXqhaWlJRMmTCApKemJ9qtOnTps2bKFCRMm8MMPP9CqVSsmT57MBx98oL5NozCZmZl89NFH3L59GysrK7p27cq8efOKvU/5TZ8+nVGjRlGvXj1SU1NRKpU0atSIQ4cOMXnyZF588UWUSiX16tVj0KBBWvN4mnr2f4u0tFRW/PQ9D1LuU6+BB19On4eZee43hNiYKBR5Jmtp0NCbjz/3Y9PaADb9spTqDrX4+PMZ1HcreQ9ycfQZMJi0tFQCFs/jQUoKrm4N+WrG95jlmQMkNiZaI0Z3Dy/GT/yKX9cuZ8O65VR3qMn4idNo4J47tLBNuw7cT05i8/o1JMTH4eRchy/9vqFaNQdKom27DtxPTmbT+tUkxMfj5FyHyXnySYiPIzbPJFDVHWowxW8OK5Yu4ved27GrUoXho8bQKs+jnhLiY5nw8Qj1+6DAjQQFbsTT24cZc34oUXyaMa7JjtGFKX5zNGKMicmdv0MV42xWLl3M7zuDdMQYx3gdMX49Z36JY8zRZ8AbpKWlsnTxXHV9/98M/3z1HYVBno5Cdw9vxk2cyvq1y9iYXd/j8tV32NXLTJv0ifr96mULAXipY1dGj/+yhDFW7GMyx+GzmRgbQq/WRpiZwO0YJSv/TCctPTeNjYVC49b+SibQp60xlmaqL+x345QE7Erndmxuolr2Ckb0yB1d1aOl6qPv9JVMth4p2UzZxy4oMTZU0r2FAWYmcCcW1u3PJC1PNtaVFSW6pQ1U8ytsOpxFh8YGtPNWjZD481SWRodFcVg39aLVvrXq9x7fq46ViDWBnB0+CdMaVTFzzL0V7tHN25zsORIP/0k4f/AmqXejOT9uJve2BavTJPwdQsib43HzG4ub38c8DIsg5I1xJP5ztkSx5VfRj0t9aYf0oQ3Shzj1p74r9nmTG6e+1HfZXQvllPP6tcvZsG4F1R1qMmHiVI34S0Ifrtcquv/Vxz6WF4WypFc/FdDQoUNJTExk+/bt5R1KmZg5cyY///wzERER5R3KM/XvlbiiE1UAJgbpRScqZwqdU8lVHPoQI0Amum+FqSj0oSx/PVS298g+LZUqVfz6bjr06XSKliXni4fKO4RiMaBkI0LKgz60QfrC8AnnXXkWsvRgMLG+fFnTh/NbH3jWL/68bBXN7StP5xG6xVG7QdnewqMP9GbEwvNs8eLFNG/enCpVqnD06FG+++47Ro8eXd5hCSGEEEIIIYReksdNPltS2hXA1atX6d27Nx4eHsyYMYMJEyaob+Po1q0bFhYWWl+zZs0qPGMhhBBCCCGEEOIpey5uhXie3blzR+NpF3nZ2dlhZ1fyR9hUVHIrRNnRh6Hx+hAj6McwZH0oS7kVouzIrRBlRx+GSutDG6Qv5FaIsiG3Qvxv0edbISKuXii3bTu6lm5uDX0mt0JUcLVq1SrvEIQQQgghhBBCr+hLJ9jzouJ3iwohhBBCCCGEEKLCkhELQgghhBBCCCGeKzJ547MlpS2EEEIIIYQQQohSkxELQgghhBBCCCGeKzLHwrMlIxaEEEIIIYQQQghRatKxIIQQQgghhBBCiFKTWyGEEEIIIYQQQjxXZPLGZ0tKWwghhBBCCCGEEKUmIxaEEEIIIYQQQjxXZPLGZ0tGLAghhBBCCCGEEKLUpGNBCCGEEEIIIYQQpSa3QogKw8QgvbxDKBYFyvIOoUj6MPTLUJFZ3iEUS2qWSXmHUCQTRcU/d95on1DeIRSLAVnlHUKRsi4eKu8QinSrYfvyDqFYZncNKO8QijRrTrPyDqFItqYp5R2CeIYM0Y/P70wMyzsEUc6Uiop/Pfw8kRELQgghhBBCCCGEKDUZsSCEEEIIIYQQ4rmiVMqIhWdJRiwIIYQQQgghhBCi1GTEghBCCCGEEEKI54pSfkN/pqS0hRBCCCGEEEIIUWrSsSCEEEIIIYQQQohSk1shhBBCCCGEEEI8V/Th8evPExmxIIQQQgghhBBCiFKTEQtCCCGEEEIIIZ4rMmLh2ZIRC0IIIYQQQgghhCg16VgQQgghhBBCCCFEqcmtEEIIIYQQQgghnityK8SzJSMWhBBCCCGEEEIIUWrSsVAOXnrpJcaOHVveYQghhBBCCCHEc0mJotxe/4vkVoin6ODBg7z88sskJCRgY2NT3uE8F5RKJZt+XcWeP37jQcp9XN08eO+DsTg51yl0vb+PHmLD2uXci7yLQ42avDHkPV5o3U4jzR87txEUuIGE+HgcnVx4d+RoPLx8Shzj7zu3Z+cTh6NTHYaNHI2HVyOd6c//F8rKpYuJCL+BnZ09fQa8TpfuvQvEv37tCo34W7Z+scSx5dCHcty9M4htWzeREB+Hk7MLw0d+iGch5XjuvzOsWPoT4bduYlfFnr79B9GtR888sR9h88ZfuRd5h4yMTGrWqkXvvq/xcsdOJY4tL6VSyZZfV7D/zyBSUu5Tv4Enwz4Yj6Nz3ULXO3H0AJvWLSMq8g7Va9Ri0NsjadG6vfrvwbu3sXf3NmKiIgGo7VSHfoPfpUmzViWOsayPyfBbN9iwbiVh1y4TEx3FuyM+omef10ocV376cFz+vnM72wM3ZpelC8OLKMtz6rK8qS7Lrt17qf8efusG69etJOzaFWKioxg24iN69hlQ4rjyqujlaNe2GXUnDMfa14tKNatxqv+HRO3YV/g6LzbH4/svsPBwJfVuNGH+ywgP2KCRxqFvZxpM+wTzek48DAvn8lfziAraW6LYtBk22JleXWpgaWHEhSv3mfvzVW6EPyx0ndd61aJvt5pUr2pKYnI6B4/FsmT1ddLSlQBsXvYCNapXKrBe4K47zP35WoniUyqV/LZxCYf3BPLwwX3quHrxxogvqOVUT+c6d8LD2LHhJ26FXSQuJpJB707glZ5vaqS5cv40fwat4VbYRZISYvlwoj9NXnj5/9m777Aojv+B4+8DATsdsVCsIKIilmgs2EnU2KOxxmg0mqhfJcUYTWyx5SdqrFGssXexEGMnthgb2FGxYEE62JFyvz8ODg7ugCMWznxez3OP3jI7+9mZ2b272dlZvWLLGufGtcvZn9YuK7m4MXDISBxyaZd/Hzus0S579B2o0S4vXwzCf8t6bt4IIS42hu/GTqZeg/x9Psrx/d85T4JhtElDiFGIdDJi4R2RlJT0tkN4I7ZvXsfObRv5fPAIps9ahIWlFRPHfs3zZ7q/5IVcucjMaRPwat4a33lLVf9OG8+1q5fVaY79dZDlfvPo0r0PM+b4UdW9BpPHjSIqMkKv+I6q8+mN75wlVHWvzs/jvtOZT8TDcH4e9z1V3avjO2cJnbv3YumiuZw4Fpgp/kv4psU/c94SrfHrq6CX45HAQyxdvICPu/dk1txFuFWrzsSfRudYjhN/+gG3atWZNXcRXbv1YMmieRw/+pc6TfESJfj4k15M953Lrwv8aNHSmzmzfuHsmVN6xZbVji1rCNi+ns8G+zBl5lIsLK2Y8uMInj97qnOda1cu8uv0cTRu5s30uStp3MybX6f/yPWQS+o01ta29Ph0MJNnL2Xy7KVUq1mbGT9/z907N/WK73W0ycTERErZl6ZPv0FYWFrpFU9OCnq7PPrXQZb5zadr9974zvHDzb0Gk3LIR1WWo3Fzr4HvHD+66CzLMvTpNwjLV1SWBb0cjYsV5dH5EC79b2Ke0hdxLkfdnYuJPXqGo3U7cmP6b1SbNQb7Tq3VaSzqe1Br7Szur/HnSO0O3F/jj+e62VjU0/1jJi96dXGge8dyzFx0g899zhIT95JZE2tQpIixznVaedkx+NMKLF9/h15fnmLa3Gu0aGTLF59mdDYO9DlL+z7H1a8RY4MBOHQ0Su8Y92xbyb6da+g5cBRjpq/C3MKaWROG8OK57nPQy8QX2JQqS+c+wzG3sNGaJjHxBeWcq9Bz4Ci9Y9Jm++a17Nq2kQGDRzBt1uK0dumTp3bZpLk3vvOW0aS5NzOnjdNoly9evMC5fEUGDB7xr+KT4/u/dZ6Egt8mDSXGgkypVLy113/Rf6pjYefOnVhYWJCamgpAUFAQCoWCb7/9Vp3miy++oEePHgAcP36cJk2aUKRIERwcHBg+fDhPn2Z8UK9evZo6depQokQJ7O3t6dmzJ5GRkQDcvn2bZs1UPfuWlpYoFAr69eunXjc1NZXvvvsOKysr7O3tGT9+vEasCQkJDBo0CDs7O0qWLEnz5s0JDg5W/338+PF4eHiwbNkyKlSogJmZGUqlMsf9b9q0KcOHD89xuzNnzqR69eoUK1YMBwcHvvzyS548eaL++507d/joo4+wtLSkWLFiVKtWjYCAAADi4uLo1asXtra2FClShMqVK7N8+fIcY9KHUqlkl/8munTvQ/2GTXB0rsAwn9EkJiZyJFD3Vald/pupWas2nbv1ppyDE5279aZ6zdrs8t+kTrNz20aat25DS+92lHN0pv+gYVjb2PJngL9eMe7ctokWrdvQyrsd5RydGDBoGNY2djrz+TNgBza2dgwYNIxyjk608m5H81Yf4r91Q0ae/pupWasOXbr1opyDE1269aJ6TU92+W/WK7Z0hlCO/ts207L1h7T+oC0Ojk58/sVX2Nja8cfunVrT7wnYia2dHZ9/8RUOjk60/qAtLVp9wPatG9VpqtfwoMH7jXBwdKJ06TJ81LELzuUrcOXSRb1iy0ypVPKH/0Y6dv+Ueu83xcG5Al/6jCUxMZFjgft0rhewYwPVa9WlY7e+lHVwomO3vrjXrMMf/hnx1n6vEbXqvk+Zso6UKevIJ32/oHDhIhqdD3nxOtpk5SqufDpgCI28WmBiYqJXPLoYQrvcoS5LVbscMGgo1jZ27AnYoTV9RlkOxcHRiVbebWne6kONdlm5iiv9BgymsVdzCr2CsjSEcoz68y+ujZvNw+26j5HMnAZ9wouwcC5/PYUnV29yd9lm7q7YSgWf/uo05Yd9SvT+44T+spinITcJ/WUx0Qf/xnnYp3rFltXH7cvy+8Yw/joRza2wZ0yedRUzM2Nae9npXMfdtSQXriSwLzCSh5GJnDoXx/6/InGtVEKdJv5RErHxGa/361pz78Fzzl1M0Cs+pVLJgV1radNlAJ71W1DWqRKfDZ/Iy8QXnPzrD53rla9cjY8/HUm9Rt462111z4Z06vkVnvVb6BWTrjh3+2+ic/c+1G/oldYuf0hrl7rbwW7/TdSoVYfO3XpTNlO73J2pXXrWqU+PvgOp39BLZz55Icf3f+c8CYbRJg0hRiEy+091LDRp0oTHjx9z7tw5AAIDA7GxsSEwMKNX9PDhw3h5eXHhwgW8vb3p3Lkz58+fZ8OGDRw9epShQ4eq0758+ZJJkyYRHBzM9u3buXXrlrrzwMHBgS1btgAQEhJCeHg4v/76q3rdlStXUqxYMU6ePMkvv/zCxIkT2bdPdZJQKpW0bduWhw8fEhAQwJkzZ/D09KRFixbExsaq87hx4wYbN25ky5YtBAUF5akMctougJGREXPmzOHixYusXLmSgwcP8t1336n//tVXX5GYmMhff/3FhQsXmD59OsWLFwfgxx9/5PLly/zxxx9cuXKFhQsXYmOj/UpIfkQ8DCc+LpaannXUy0xMTKnmXpOQK7p/HF67eomatepqLPPwrEvIFdUPtKSkJEJvXMMjS5qannVzzDcrVT4hWrd19Yr2H4PXrl7CwzNr+nqEXg8hOTk5I02WPGt51tOZZ24Moxyv4ZEpPgCPWrV17vPVK5fxqFVbY1mt2nW5cf2auhwzUyqVBAed5f69e1Rzr57n2LKKjHhAfFwMNWrVUy8zMTGlqrsH165c0Lne9auXqJGlnGp41tO5TmpKCscD95P44gVVXN3zHN/rapOvg8G0y1pZ2qVnHa7qyCfk6uVs7biWZ93XWpYFvRzzw6K+B1H7j2ksi9p7BPPa7igKqe7otKzvQfT+oxppovcdwbJBrXxvt0ypwthYmfHPuTj1sqRkJUEX43F3LalzvfOXE3CpWIKqlUuo86lfx4oTp2O0pi9USEHrZqXYvf+h3jFGR9wnIT6aah711ctMTEypUq02oSHn9c7vdYlUt8uM9mNiYopbPtplTc96r7zNyfH93zpPQsFvk4YSo3h1FixYQPny5SlcuDC1a9fmyJEjOaYPDAykdu3aFC5cmAoVKvDbb79lS7Nlyxbc3NwwMzPDzc2Nbdu2va7wgf/YHAvm5uZ4eHhw+PBhateuzeHDhxk5ciQTJkzg8ePHPH36lGvXrtG0aVOmTJlCz5491ZMsVq5cmTlz5uDl5cXChQspXLgw/ftnXC2pUKECc+bMoV69ejx58oTixYtjZaUarmVnZ5dtjoUaNWowbtw4dd7z5s3jwIEDtGrVikOHDnHhwgUiIyMxMzMDYMaMGWzfvp3NmzczaNAgQNWxsWrVKmxtbfNcBjltF9CYVLJ8+fJMmjSJIUOGsGDBAgDCwsLo0qUL1atXV+93urCwMGrVqkWdOqoPCGdnZ51xJCYmkpiYqLHsZWIipmn7q018nKpTxcJCcxicuYUlUVG6h+rFx8ViYWmpsczC0lKd3+NHCaSmpmCeJV8Li4w0eaHKJxULC81tmeeQT1xcLB5Z0ltYWJKSksKjRwlYWVkTHxeLeZb4zS31iy2zgl6Oj3SUo4WlJXE68tEaW5ZyBHj69An9+3QnKSkJIyMjBn/1v2xfaPSRvl/m2erciuhI3T8S4uNispWTuYVVtnIKux3Kj998QdLLlxQuUoSvx0yhnGPO91Vm9rra5OtQ0NulrrJU5ROndZ24uFhqveGyLOjlmB9mpWxIjIjWWPYyMgYjExNMbSxJfBiFmb0NiRGaP9wTI2Iws8/752NWVpamAMTGv9RYHhf/klJ22edHSHfgSBQW5iYsmO6BQgGFChmxLeA+qzff1Zq+SX0bihcrRMAB/TsWEuJV+1zSQrMtlbSwIiYqXO/8Xpe4OFWcWdulhYUVUVE5nStzbpevihzf/63zpGq7BbtNGkqMBZ2hTKK4YcMGRowYwYIFC2jYsCGLFi3iww8/5PLlyzg6OmZLf+vWLdq0acPAgQNZvXo1x44d48svv8TW1pYuXboAcOLECbp3786kSZPo1KkT27Zto1u3bhw9epT33nvvtezHf6pjAVS3Axw+fBgfHx+OHDnCzz//zJYtWzh69Cjx8fGUKlUKV1dXzpw5w40bN1izZo16XaVSSWpqKrdu3aJq1aqcO3eO8ePHExQURGxsrPoWi7CwMNzc3HKMo0YNzfs+S5curb6N4syZMzx58gRra82T6fPnzwkNDVW/d3Jy0qtTIbftAhw6dIgpU6Zw+fJlHj16RHJyMi9evODp06cUK1aM4cOHM2TIEPbu3UvLli3p0qWLOs8hQ4bQpUsXzp49S+vWrenYsSPvv/++1jimTp3KhAkTNJYNGfY1Xw7/Rv3+r0P7WDTPV/3+h/HTAFAosp4klChyPXFo/l2pzJ5P1myVSi0L8yBbfEpljtlkTa9EdUtL5qVZ90+ZS56ZGW45Zs8ne8yZI9O2Yc3lRYoUZfa8xTx//pzzwWdZ5reQUvalqV7DI08xHT30J37z/0/9ftS4/0uLVVud57zPeVmnTFlHps9ZwdOnj/nn2GEWzJrMuGnz9Opc0L2tvKfX1ib/LUNtl1nXUW0rp+S6yvLVlKbBlqO+st7ql77NzMu1pcnlFsHMWnnZ8e1XVdTvv5uYNoIoaxYKRfZlmdRyN6dvNyd8f7vO5ZDHlCtdmP8NqkR07EtWbgjLlr5tK3tOnoklJvalltw0/R0YwOpFk9Xvh42Zoz2h8tW1sfz469BeFmdql6PHTwe0tJ88tEvtn3+vad/k+M6W5l04T4JhtElDiFG8HjNnzmTAgAF8/vnnAMyePZs///yThQsXMnXq1Gzpf/vtNxwdHZk9ezYAVatW5fTp08yYMUPdsTB79mxatWrF6NGjARg9ejSBgYHMnj2bdevWvZb9+E92LCxdupTg4GCMjIxwc3PDy8uLwMBA4uLi8PJS3WuUmprKF198wfDhw7Pl4ejoyNOnT2ndujWtW7dm9erV2NraEhYWhre3Ny9f5v7lIOt9yQqFQt0xkZqaSunSpTl8+HC29TKPfChWrJgee577du/cuUObNm0YPHgwkyZNwsrKiqNHjzJgwAD15JCff/453t7e7N69m7179zJ16lR8fX0ZNmwYH374IXfu3GH37t3s37+fFi1a8NVXXzFjxoxscYwePRofHx+NZTfuavZm132vIZVdqqrfp8cQFxeDZaYe7IT4+Gw9s5lZWGa/EpwQH6e+ylyipDlGRsbZ0yTEZet1z4kqH6NsV9UTEuKzXQVIZ6k1tniMjY0pUdJcZ/yP4nXnmZWhlWNJdTlqtoeEeN35WFhaZSv3+IT0cswYsmxkZETpMmUBqFCxEnfDwti8cV2eOxZqv9eISi7V1O+TklTHenxcLJZWGbf9JCTEZRvFoBmvNfFxmldXta1TyMQE+zLlAKhYuSqh16/yx45NDBz6HXnxutrkq2Bo7TK9LLXlo6uuLbW0y4yy1D2UXh+GVo75kRgRnW3kgamtFalJSbyMiVeleRiNmb3mrXdmdlbZRjrk5Og/MVy+djpjGyaqu0WtLE2Jicv4XLc0N8k2iiGzz3uX589DEezaq7qiePPOUwoXNua7oVX4fWOYRl9HKVsz6tS0ZMzUvN3a5lHPiwpVMm6HSq/vR/ExWFhllNGjhNhsoxjepLrvNaKyS8YFlmR1u8xyroyPyzYiLzNt5/aE+Pgcz6/5Icf3u32eBMNok4YQo6F5myMWtI3ONjMzU49GT/fy5UvOnDnD999/r7G8devWHD9+XGveJ06coHXr1hrLvL29Wbp0KUlJSZiYmHDixAlGjhyZLU16Z8Tr8J+aYwEy5lmYPXs2Xl5eKBQKvLy8OHz4sHp+BQBPT08uXbpEpUqVsr1MTU25evUq0dHRTJs2jcaNG+Pq6qpx5R/A1FQ1jDIlJUWvGD09PXn48CGFChXKtu1XOWdBVqdPnyY5ORlfX1/q169PlSpVePDgQbZ0Dg4ODB48mK1bt/L111/j5+en/putrS39+vVj9erVzJ49m8WLF2vdlpmZGSVLltR4Zb0NokjRopQuU079cnB0xsLSivPnMr74JSUlceliMC5Vdd93XsW1GsFBpzWWBZ87hUtV1Q9EExMTKlaqQvA5zTTnz53OMd+sVPm4ZMsn+NxpXKtW07pOFddqWtKfomJlFwql3TusLf6gc6d05pmVYZZjFYLPndFYHnTujM59dq3qRlDW9GdPU6lyFXU5aqdUf3DnRZGixbAvU079KudYHgtLay6cy3iyRHJSElcuBlGlqu65Gyq7VtNYB+D8uVM5rgOqKw7pnRl58bra5KtguO0y67bO4KojHxdXNy3t+PQrLUtDK8f8iP87CJsWmqPfbFs1IuHMRZRp92DH/R2ETYuGGmlsWjYi7sS5PG/n+fMU7oe/UL9uhT0jOjaRuh4ZX8YLFVLg4W7BxauPdOZT2MwIZarmkIbUVNXX26wXDNu2tCcu4SUnTmmffyFb3kWKYVfaUf0q41ABcwsbLgf/rU6TnJTEtUtnqOjy756I8W9kbZfldLTLy3lol+eDNM+Vqnb5atucHN/v9nkSDKNNGkKMIu+mTp2Kubm5xkvb6IPo6GhSUlIoVaqUxvJSpUrx8KH2W14ePnyoNX1ycjLR0dE5ptGV56vwn+tYSJ9nYfXq1TRt2hRQdTacPXtWPb8CwKhRozhx4gRfffUVQUFBXL9+nR07djBs2DBANWrB1NSUuXPncvPmTXbs2MGkSZM0tuXk5IRCoWDXrl1ERUVpPF0hJy1btqRBgwZ07NiRP//8k9u3b3P8+HHGjh3L6dOnc88gnypWrEhycrJ6n1atWpVtIpARI0bw559/cuvWLc6ePcvBgwepWlXVm/7TTz/h7+/PjRs3uHTpErt27VL/7VVQKBS06/AxWzau4eTxvwi7fZN5s6ZiZmZGY6+W6nRzfCezekVGh0bb9l0JPnuabZvWcu/uHbZtWsv5oDO06/CxOs1HnbpxYO9uDuzdzb2w2yxfPI/oqEhaZ3qOcl581OnjtHwCuBd2h2WL5xEdFaHOZ/WKxfzqO0Wd3rtNe6IiI1juN597YXc4sDeAA3sD6NC5uzpNu/ZdCDp7iq1p8W9Vx5+/ZzgbQjl26NSVfX8GsH/vH9wNu8OSxQuIjorkgzYfAfD78iXMmjFNnf6DNh8RFRnJ0sULuBt2h/17/2D/3j/o2LmbOs3mDWsJOnuah+EPuHc3DP+tmzh0YB9ezfI/47lCoeDDDt3Yvul3/jkeyN3bN1kwezJmZmY09GqlTjffdxLrVixUv/+wfTfOnzuF/+bV3L97B//Nq7kYdIoPO2TEu27lb1y5GERkRDhht0NZ//siLl88R6Ommj3UuXkdbTIpKYlbode5FXqd5ORkYmOiuRV6nfAH9/Quw3SG0C7bd/qY/XsD2L83gLthd1i2eD7RURF4p7XLVSv8tJblMr/5ae1SVZaZ26WqLG9wK/QGycnJxMREcyv0BuEP7utdhmAY5WhcrCgla7pSsqYrAEXLl6NkTVcKO5QGwOVnH2oun65Of2fxeoo4laHq/31PcdcKlOvXBYfPunBz5jJ1mtvzfsemVUMqfDOQYi4VqPDNQGxaNOD23JX6FWAWm3bcp8/HjjSpb015x6KMGeFCYmIKewMzLiSMHenCF30zbk869k8MHduUoUVjW0qXKkwdD0s+71Weo//EkDZAEFB1MrRpac+egxGkpJIvCoWCFu16ErBlGWf/Psj9OzdYPm8cpmaFea/Jh+p0S3/9ka2r56rfJyclEXYrhLBbISQnJxEXG0nYrRAiwzNu1Xjx/Jk6DUB05H3CboXka+4GhUJB2w4fs3XjanW7nK9ulxnnyjm+k1mzYpH6fRt1u1zD/bt32LZpDReCTtM2U7t8/vyZ+nwEqgkOb4Ve1/sxiXJ8/3fOk2AYbdIQYhS6jR49moSEBI1X+m0J2mS7JSiX21e0pc+6XN88/63/3K0QAM2aNePs2bPqTgRLS0vc3Nx48OCB+odwjRo1CAwMZMyYMTRu3BilUknFihXp3l315drW1pYVK1bwww8/MGfOHDw9PZkxYwbt22ecgMuWLcuECRP4/vvv+eyzz+jbty8rVqzINT6FQkFAQABjxoyhf//+REVFYW9vT5MmTbL1PL1KHh4ezJw5k+nTpzN69GiaNGnC1KlT6du3rzpNSkoKX331Fffu3aNkyZJ88MEHzJo1C1CN0Bg9ejS3b9+mSJEiNG7cmPXr17/SGDt27cHLl4ksXjCLp0+eUNmlKj9NmkGRokXVaaKjIlEoMvrMXN3c8Rn1E2tXLWX96qWUsi+Dz6jxVHHNGG7WsElzHj9KYNO634mLjcHRqTw/TJiOnZ29XvE1atKcx48esXHdSuJiY3F0Ks+YTPnExcYQnWmCpVL2pRk7YRrL/Obzx67tWFlbM+CLYTTI9Pif9PjXrVrK+tXLKGVfhq9HjdOIX18FvRwbezXj8eNHbFi7itjYWJycnflpwlTs0tp/XFwM0VEZX+xL2Zfmp4lTWLp4AQG7dmBlbc3nXwzl/UZN1GlevHjBbwvmEBMdhampGWUdHBj5zWgaezXTu/wya9+lFy8TE1m20JenTx5TycWNHybOpkjRjFuVoqMiUBhlnMhdqlZn+HcT2Lh6MRtX+1HKviz/GzWRyplus0iIj2P+zEnEx8ZQtFgxHJ0rMXqCr8YTKPLidbTJuNhovh4+UP3ef+sG/LduoFr1mkya9qte8WVW0NtlRln+nlaWzoydME2jLKOytMuxE6ay3G8Bf+zy11GWMfjoKMufp83WK750Bb0czWu70+DAKvV7txk/AHD3962cHzAas9K2FEnrZAB4fvsepz4ahJvvaJyG9CLxQSSXRk7m4ba96jRxJ85xrpcPLhNG4DJhOM9C73Ku50ji//l3T0ZYs+UuZqZG+AypTIniJly+9oiRP53n+fOMkYilbAuTeYDCyg13UCphYO/y2FqbEv8oiWP/xLB41S2NvOt4WGJvV5jd+/7d1aMPOn1K0ssXrF08jadPH1Ghsjsjf1pA4SIZ56DY6IcojDLqOz4uiklf91C/3+u/ir3+q6hSrTbfTlKNQrwTepkZPw1Sp9m4fCYADZp9RP9hmnMk5UXHrj15+TIRvwUz1e3yx0m+WdplBEaZvvS6ulVn5KhxrFu1hA1p7XJklnYZej2E8aP/p36/csk8AJq2+IChPj/kOT45vv9b50ko+G3SUGIsyN7mrRDabnvQxsbGBmNj42wjCSIjI3X+7rO3t9eavlChQuo5+nSleZ2/JRVKpR4zGwnxGl288fqG5rxKipxm7SogDGEW3EKK1/cYqVfpearu2d8LClNF3m/neFsMoU0CGJHPS8dvUKoBDDa8U9Uwno0+9QPtt+sVJFOm5f/JNW+KpVneRmS+bcbod2vq22AIx7chnCcBUjB+2yG8E6pXen0/RF+3Czfe3ggMfcrtvffeo3bt2uqn8AG4ubnRoUMHrbdPjBo1ip07d3L58mX1siFDhhAUFMSJEycA6N69O48fPyYgIECd5sMPP8TCwkImbxRCCCGEEEIIIfJCqTSMixo+Pj706dOHOnXq0KBBAxYvXkxYWBiDBw8GVLdV3L9/n99//x2AwYMHM2/ePHx8fBg4cCAnTpxg6dKlGh0G//vf/2jSpAnTp0+nQ4cO+Pv7s3//fo4ePfra9kM6Ft4RuT3iUtdzUIUQQgghhBBCvB3du3cnJiaGiRMnEh4ejru7OwEBATg5OQEQHh5OWFjGHDjly5cnICCAkSNHMn/+fMqUKcOcOXPUj5oEeP/991m/fj1jx47lxx9/pGLFimzYsIH33nvvte2H3ArxjkhOTub27ds6/+7s7PxKZ9d9HeRWiFfHEIady60Qr47cCvHqGMIQX0MYKi23Qrw6civEqyO3QrwahnCeBLkV4lUx5Fshzl+PzD3Ra1Kjst1b2/bbUrB/aYo8S380pRBCCCGEEEL816UayEWNd0XB7xYVQgghhBBCCCFEgSUjFoQQQgghhBBCvFMM5TbMd4WMWBBCCCGEEEIIIUS+yYgFIYQQQgghhBDvFEN53OS7QkYsCCGEEEIIIYQQIt+kY0EIIYQQQgghhBD5JrdCCCGEEEIIIYR4p8jkjW+WjFgQQgghhBBCCCFEvsmIBSGEEEIIIYQQ7xSZvPHNkhELQgghhBBCCCGEyDfpWBBCCCGEEEIIIUS+ya0QosBQoHzbIeSJIUwEYwhl+SLV7G2HkCdFjF687RBylaws+KdyQ2iTACkYv+0QcmVMytsOIVdTP1j8tkPIk9F7Br3tEHJ1+vOrbzuEXH1QLeFth5AnqQZwPc0QvmMYwmcOQCFF8tsOIVeGUN+GTMr3zSr4Z1ghhBBCCCGEEEIUWIbR5SiEEEIIIYQQQuSRTN74ZsmIBSGEEEIIIYQQQuSbjFgQQgghhBBCCPFOSX3bAfzHyIgFIYQQQgghhBBC5Jt0LAghhBBCCCGEECLf5FYIIYQQQgghhBDvFJm88c2SEQtCCCGEEEIIIYTINxmxIIQQQgghhBDinaJERiy8STJiQQghhBBCCCGEEPkmHQtCCCGEEEIIIYTIN7kVQgghhBBCCCHEO0Umb3yzZMSCEEIIIYQQQggh8k06FnLRtGlTRowY8bbDeK369etHx44d33YYQgghhBBCCPFKKFG8tdd/kdwKkebw4cM0a9aMuLg4LCws3nY4NG3aFA8PD2bPnv22Qykw/ti1Hf+t64mLjcHBsTz9Bw3Fzb2GzvSXLgSx3G8Bd8NuYWVlQ8eun+DdpoNGmhPHAlm3ahkPwx9gX7oMPft+Tv33G/+rOJVKJRvXrmDfnp08ffKYyi5ufD5kBI5O5XNc78SxQNavWqoRy3vvN9FIs2fXtrQyiMXB0ZnPBg3Fzb2m3jG+6rIMu3OL9auXE3ojhKjICD4b+BUfdfxY77iyUiqVbF67jAN/7uDJk8dUruJG/yE+ODhVyHG9k8cOs2H1EiLC71OqdFk+6TOQeu97qf++N2Ab+wK2ExURDkA5x/J06dGPWnUa6B1jwC5/tm3ZSFxsDI5OzgwY9CXVcijLixeCWea3kLA7t7GytqFTl+582PYj9d9PHDvCpg1reRh+n+TkFMqULUuHTh/TrEUrvWNL919sk+nxv57jezn708qykosbA4eMxCGXsvz72GGNsuzRd6BGWV6+GIT/lvXcvBFCXGwM342dTL0G+Yv1j13b2b51Q1pZOjMgl7K8qC7L2+qy/KBNe/Xfw+7cYt3q5YTeuEZUZAT9B37FRx275iu2rPr3cKK9d2lKFC/E5WuPmfnbdW6FPctxnY/bl6XTh2UoZWtG/KMkDh+PZtHKm7xMUgKwacl7lC5VONt6W3ffZ+ZvN/IUl1WjOlT4egDmnu4ULmPH6S5fErHjQM7rNK6L24zvKe5WmcQHkYT6LiFs8XqNNPadWlNl/P8oWtGRZ6FhhPw0iwj//XmKSRelUsmZffO4cnIjic8fYedYg0Ydf8LKvnKe1r8RtJsDa7/GuVoLvD+dr/G3S8fXEhy4lGePo7AsVYn32/9A6fJ19I7RUNqkIZwrDeEclB7nprXL2Z/p8/vzIT55i3P1EiLCH1CqdBl69BmkEee2jas4eeIv7t+7g6mpGS5V3enVbwhlyznqHaMhtEtD+b4mBMiIhbciKSnpleSjVCpJTk5+JXkVdEf/Oshyv3l06d4b3zlLqOpenZ/HfUdUZITW9BEPw/l53PdUda+O75wldO7ei6WL5nLiWKA6TciVS/hOm4BX89bMnLcEr+at8Z02nmtXL/+rWLdvXsfObRv5fPAIps9ahIWlFRPHfs3zZ7q/LIdcucjMtFh85y3VGssxdRn0YcYcP6q612DyuFE6y0CX11GWiYmJlLIvTZ9+g7CwtNIrnpzs2LKG3ds38NlgH6bMXIK5pTWTfxyZY1leu3KR2dPH0biZN7/MXUHjZt7Mnv4T10MuqdNYW9vS89PBTJm9hCmzl+Be05P/+3k0d+/c1Cu+I4GHWLp4AR9378msuYtwq1adiT+NzrEsJ/70A27VqjNr7iK6duvBkkXzOH70L3Wa4iVK8PEnvZjuO5dfF/jRoqU3c2b9wtkzp/SKLbP/Ypt8fcf3WnZt28iAwSOYNmtxWln65KksmzT3xnfeMpo092bmtHEasbx48QLn8hUZMHjEv4rv6F8HWeY3n67de+M7xw839xpMyqFOVGU5Gjf3GvjO8aOLzuO7DH36DcLyFR7fvbo40L1jOWYuusHnPmeJiXvJrIk1KFLEWOc6rbzsGPxpBZavv0OvL08xbe41WjSy5YtPMzobB/qcpX2f4+rXiLHBABw6GpXn2IyLFeXR+RAu/W9intIXcS5H3Z2LiT16hqN1O3Jj+m9UmzUG+06t1Wks6ntQa+0s7q/x50jtDtxf44/nutlY1NP9IyEvgg8v4fyRFTTs+COdh2+iaAlbdvv15+WLJ7mu+zjuPn/v/gV7LZ0FN4ICOL5zKrWaD6bL/7ZhX74OAUsH8TjugV7xGVKbLOjnSlWMBfsclM5/y1p2bd/AgMEjmTbTDwtLKybl8vkdcuUis6aPx6uZNzPmLsermTezsnx+X7oYhHfbTkyZsYgfJ80iJSWFn3/04cWL53rFZwjt0pC+rxVUqcq39/ovKrAdCzt37sTCwoLU1FQAgoKCUCgUfPvtt+o0X3zxBT169ADg+PHjNGnShCJFiuDg4MDw4cN5+vSpOu3q1aupU6cOJUqUwN7enp49exIZGQnA7du3adasGQCWlpYoFAr69eunXjc1NZXvvvsOKysr7O3tGT9+vEasCQkJDBo0CDs7O0qWLEnz5s0JDg5W/338+PF4eHiwbNkyKlSogJmZGUql7hbXr18/AgMD+fXXX1EoFCgUCm7fvs3hw4dRKBT8+eef1KlTBzMzM44cOUJiYiLDhw/Hzs6OwoUL06hRI06d0vwRcunSJdq2bUvJkiUpUaIEjRs3JjQ0VOv2z5w5g52dHZMnT9Zr/1atWoWzszPm5uZ88sknPH78WOc+6mvntk20aN2GVt7tKOfoxIBBw7C2sePPAH+t6f8M2IGNrR0DBg2jnKMTrbzb0bzVh/hv3ZCRp/9mataqQ5duvSjn4ESXbr2oXtOTXf6b8x2nUqlkl/8munTvQ/2GTXB0rsAwn9EkJiZyJFD3Vald/pupWas2nbv1ppyDE5279aZ6zdrs8t+UqQw20rx1G1p6t6OcozP9Bw3D2sZWZxno8jrKsnIVVz4dMIRGXi0wMTHRKx5dlEolAf6b6NS9L++974WjcwW+8hlDYmIiRwP36lwvYMdGatSqQ6dufSjr4ESnbn1wr1mbAP+N6jS132tErboNKFPWkTJlHfmk7xcULlyE6yH6/ej037aZlq0/pPUHbXFwdOLzL77CxtaOP3bv1Jp+T8BObO3s+PyLr3BwdKL1B21p0eoDtm/NiK16DQ8avN8IB0cnSpcuw0cdu+BcvgJXLl3UK7Z0/9U2+bqO793+m+jcvQ/1G3qlleUPaWW5T+d6u/03UaNWHTp3603ZTGW5O1NZetapT4++A6nf0EtnPnmxQ12WqjY5YNBQrG3s2BOwQ2v6jLIcioOjE62829K81YcabbJyFVf6DRhMY6/mFHpFxzeoRh78vjGMv05EcyvsGZNnXcXMzJjWXnY613F3LcmFKwnsC4zkYWQip87Fsf+vSFwrlVCniX+URGx8xuv9utbce/CccxcT8hxb1J9/cW3cbB5u112vmTkN+oQXYeFc/noKT67e5O6yzdxdsZUKPv3VacoP+5To/ccJ/WUxT0NuEvrLYqIP/o3zsE/zHFdWSqWSC0d/x7P5YCpUb42VfRWadZ9GctILbgTtynHd1NQUDq77ljqthlHSqly2v184sgLXul2o+t7HWJaqSMP2P1Dcwp7Lf6/TK0ZDaZOGcK40hHNQRpwb6Zzp83uo+vM7hzh3bNL6+Z05zrETfWnWsg0OTuVxrlCJL0eMJjoqgps3QvSK0RDapaF8XxMiXYHtWGjSpAmPHz/m3LlzAAQGBmJjY0NgYEav2+HDh/Hy8uLChQt4e3vTuXNnzp8/z4YNGzh69ChDhw5Vp3358iWTJk0iODiY7du3c+vWLXXngYODA1u2bAEgJCSE8PBwfv31V/W6K1eupFixYpw8eZJffvmFiRMnsm+f6sSoVCpp27YtDx8+JCAggDNnzuDp6UmLFi2IjY1V53Hjxg02btzIli1bCAoKynHff/31Vxo0aMDAgQMJDw8nPDwcBwcH9d+/++47pk6dypUrV6hRowbfffcdW7ZsYeXKlZw9e5ZKlSrh7e2t3v79+/dp0qQJhQsX5uDBg5w5c4b+/ftrHe1w+PBhWrRowYQJExgzZkye9y80NJTt27eza9cudu3aRWBgINOmTctxP/MqKSmJ0Bsh1KxVV2O5h2ddrl65pHWda1cv4eGZNX09Qq+HqPf72tVLeGTJs5ZnPZ155kXEw3Di42Kp6Zlx9cfExJRq7jUJuaL7h+G1q5e07l9IWiyqMriWLd6annVzzDer11WWr0NkxAPi42KoUaueepmJiSlu7h5cy7EsL2qsA1DT8z2d66SmpHAscD+JL15QxbVanuNT14mn5pU+j1q1dZbl1SuX8ahVW2NZrdp1uXH9mtayVCqVBAed5f69e1Rzr57n2DL7r7bJ13F8R6rLMiNfVZvUvyxretbTq5zyIqNOsrRJzzpc1bGtkKuXs7XhWp51X/vxXaZUYWyszPjnXJx6WVKykqCL8bi7ltS53vnLCbhULEHVyiXU+dSvY8WJ0zFa0xcqpKB1s1Ls3v/w1e5AFhb1PYjaf0xjWdTeI5jXdkdRSHXXqWV9D6L3H9VIE73vCJYNauV7u49j7/HscRTlqjRULzMuZErpCnWJuHMux3XP7J9P4WJWuNbLPlQ7JfklUfcvaeQLUK5yQyJu55xvZobUJgv6uRIK/jlIHWdEWpy1ssbpkUucF7WUZc5xPku7iFi8uO7zRlaG0C4N6fuaEOkK7BwL5ubmeHh4cPjwYWrXrs3hw4cZOXIkEyZM4PHjxzx9+pRr167RtGlTpkyZQs+ePdWTLFauXJk5c+bg5eXFwoULKVy4MP37Z1w1qFChAnPmzKFevXo8efKE4sWLY2WlGg5kZ2eXbY6FGjVqMG7cOHXe8+bN48CBA7Rq1YpDhw5x4cIFIiMjMTMzA2DGjBls376dzZs3M2jQIEDVsbFq1SpsbW3ztO+mpqYULVoUe3v7bH+fOHEirVqp7rd++vQpCxcuZMWKFXz44YcA+Pn5sW/fPpYuXcq3337L/PnzMTc3Z/369ereySpVqmTL19/fnz59+rBo0SL1SJC87l9qaiorVqygRAnVl70+ffpw4MAB9aiHf+PxowRSU1OxsLDULCcLS+LjYrWuExcXi0eW9BYWlqSkpPDoUQJWVtbEx8VibpklT0vdeeZF+roWFprDy8wtLImK0j3kMT4uFosssVhkikVVBimYZ8nXIocy0OZ1leXrkB5P1n02t7DMcfhofFws5nnYv7DboYz9ZjBJL19SuEgRvhkzhXKOOd/7mdkjHWVpYWlJnI6y1FrPWsry6dMn9O/TnaSkJIyMjBj81f+yfaHJq/9qm3wdx3dcXEzatrLusxVRUbp/uOZWlq+KrrJU1Umc1nXi4mKp9RaObytLUwBi419qxhP/klJ22edHSHfgSBQW5iYsmO6BQgGFChmxLeA+qzff1Zq+SX0bihcrRMCB19uxYFbKhsSIaI1lLyNjMDIxwdTGksSHUZjZ25AYodkBkhgRg5l97t8LdHn2WHV7R5HimvVUpLg1T+J137Lw8PZZQk5tocuI7Vr//uJpHMrUlOz5lrDm2eNoretoY0htsqCfK6Hgn4MytqeKU9vnd3RkznFmX8dKZ5xKpZKVS+bh6lYDR+ec517KzBDapSF9XyvI/quTKL4tBbZjAVQTGB4+fBgfHx+OHDnCzz//zJYtWzh69Cjx8fGUKlUKV1dXzpw5w40bN1izZo16XaVSSWpqKrdu3aJq1aqcO3eO8ePHExQURGxsrPoWi7CwMNzc3HKMo0YNzfsfS5curb6N4syZMzx58gRra82D9fnz5xq3Gjg5OeWpUyEv6tTJ+IERGhpKUlISDRtmXFUwMTGhXr16XLlyBVDdRtK4ceMchzydPHmSXbt2sWnTJjp16qRentf9c3Z2VncqgGYZaZOYmEhiYqLGspeJiZimdV5oo1BkOTkolWRdlFN6JarbTzIvVWQ54ShzyTOrvw7tY9E8X/X7H8ZP0x4rymzb0hJxlliy56OlCLIvzIPXUZb/1pFDe/Gb/3/q99+P+yVt25rpVOWSc17Z4tVSlmXKOvLLnOU8ffqEk8cOM3/WZMZPm6tX54Lu+HQHmK0dKJXZlhcpUpTZ8xbz/PlzzgefZZnfQkrZl6Z6DY9c45E2mSnNvz6+97I4U1mOHj89bdtZQs1DWWqP5TV94dHa/nNKrqssX118rbzs+ParjA7t7yZeSN9Y1mCyL8uklrs5fbs54fvbdS6HPKZc6cL8b1AlomNfsnJDWLb0bVvZc/JMLDGxL7Xk9oplvcUxvVwzL9eWJodbI7O6fnYnf20dp37/4We/aW5LM3Otebx88YSD676lSZdJFClmqTWNRnyZ5XJ+y2s+BaFNGsK50lDOQUcO7WXR/BkZcY7THmdePsC1fxZoX2fpb7MIux3KpF/ma/17rgpgu8xtmwXh+5oQuhT4joWlS5cSHByMkZERbm5ueHl5ERgYSFxcHF5eqvvAUlNT+eKLLxg+fHi2PBwdHXn69CmtW7emdevWrF69GltbW8LCwvD29ubly9y/bGT9Qa5QKNQdE6mpqZQuXZrDhw9nWy/zyIdixYrpsec5y5xX+lwN2X9IZZyIixQpkmueFStWxNrammXLltG2bVtMTVVXk/K6fzmVkTZTp05lwoQJGsuGDPPhq+HfZEtboqQ5RkZG2a4CJyTEZ+vZTmdpmb2HOyE+HmNjY0qUNFfFryXNo3jdeWpT972GVHapqn6fPjFnXFwMlpl6hhPi47NdLchMWywJ8XHqK++qMjDOniYhLltvdk5eV1m+CnXea0Rll4xOvqQk1bEZHxeLpZWNevmjhLgc60hrvSbEZRvFUMjEBPsyqvuKK1Z2JfT6FQJ2bGLQ0O/yFG9JdVlqXt1IiNddJxaWVtnKPj4hvSwzhnEaGRlRukxZACpUrMTdsDA2b1yXp44FaZOv8vjWbJPJ6rLUbJMJ8XHZRkdkpq3eE+Ljs7XJfyu9LLXVia5tWeqILWub/LeO/hPD5Wun1e9NTVR3YlpZmhITl/E5bGlukm0UQ2af9y7Pn4ci2LVXddXz5p2nFC5szHdDq/D7xjCN3+ilbM2oU9OSMVPzf/tLXiVGRGcbeWBqa0VqUhIvY+JVaR5GY2Zvo5HGzM4q20iHnDi5NaOrY8bFjpRkVVk9fxxNsZIZc1M8fxJD0RLar04+ir3L47j77FkxRL1MqVR9Xi/+vhrdv/2D4ub2KIyMeZ5ldMLzJzHZRjHkpCC3SUM4VxrKOajOe42opCXOrJ/fCQnx2UZbZI0zfbRDxjra28rS32Zx+uQxJkybi7WN7nlZtCnI7TJrjAXx+5ohUSqlS+VNKrBzLEDGPAuzZ8/Gy8sLhUKBl5cXhw8fVs+vAODp6cmlS5eoVKlStpepqSlXr14lOjqaadOm0bhxY1xdXbNdTU//IZ2SkqJXjJ6enjx8+JBChQpl27aNjU3uGehgamqap1jS9/Ho0Yz7NpOSkjh9+jRVq6o+MGvUqMGRI0dyfBqFjY0NBw8eJDQ0lO7du6vTvq79Gz16NAkJCRqvgV8M05rWxMSEipVcCD53WmN58LnTuFbVfk98FddqWtKfomJlFwql3e9axbUawUGaaYLOndKZpzZFihaldJly6peDozMWllacz7TtpKQkLl0MxqWqu858tMUSfO4ULmmxqMqgSrZ9On/udI75ZvW6yvJVKFK0KPZlyqlf5RzLY2FpzflzGRORJiclcfliEFVyLEt3jXUAzp/7J8d1AFBmfBnKi4w6OaOxPOjcGZ1l6VrVjaCs6c+eplLlKrmUpTLPsUmbfH3HdzkdZXk5D2V5PkizTarKMu/llBe66iT43BlcdWzLxdVNSxs+/cqP7+fPU7gf/kL9uhX2jOjYROp6ZHyJL1RIgYe7BRevPtKZT2EzI5RZpttOTVUNds16Fa9tS3viEl5y4pT2+Rdepfi/g7Bp8b7GMttWjUg4cxFl2r3NcX8HYdNCc84Cm5aNiDuR9zkLTAsXx9zGSf2yLFWJoiVsuXf9uDpNSvJLwm+eopRTLa15WNhW4GOfHXQdsU39cnZrTpmK79F1xDaKm9tjXMgU27LVNPIFuHf9OKWcteerTUFuk4ZwrjSUc5DuODO2mZT2+Z1znO4a+6YtTqVSyZKFszh5/C/GTZ5NKfsyesdbkNulZowF8/uaELoU6I6F9HkWVq9eTdOmTQFVZ8PZs2fV8ysAjBo1ihMnTvDVV18RFBTE9evX2bFjB8OGqX6oOjo6Ympqyty5c7l58yY7duxg0qRJGttycnJCoVCwa9cuoqKiePIk98c0AbRs2ZIGDRrQsWNH/vzzT27fvs3x48cZO3Ysp0+fzj0DHZydnTl58iS3b98mOjpa59X/YsWKMWTIEL799lv27NnD5cuXGThwIM+ePWPAgAEADB06lEePHvHJJ59w+vRprl+/zqpVqwgJ0ZxB187OjoMHD3L16lV69OhBcnLya9s/MzMzSpYsqfHK6TaIjzp9zIG9uzmwN4B7YXdYtnge0VERtE57fvDqFYv51XeKOr13m/ZERUaw3G8+98LucGBvAAf2BtChc3d1mnbtuxB09hRbN63l3t07bN20lvNBZ2jXIf/PHFYoFLTr8DFbNq7h5PG/CLt9k3mzpmJmZkZjr5bqdHN8J7N6xWL1+7btuxJ89jTb0mLZpo4l49nCH3XqllYGu7kXdpvli+cRHRWpLoO8eh1lmZSUxK3Q69wKvU5ycjKxMdHcCr1O+IN7epdhOoVCQZsOH7N90yr+OR5I2O2bLJg9GTMzMxp5ZTzCbZ7vJNau+E39/sP2H3P+3Cn8N6/m/t07+G9ezYWg07Tp0E2dZt3KRVy5GExkRDhht0NZ//siLl08R6OmrdFHh05d2fdnAPv3/sHdsDssWbyA6KhIPmjzEQC/L1/CrBkZk5h+0OYjoiIjWbp4AXfD7rB/7x/s3/sHHTtnxLZ5w1qCzp7mYfgD7t0Nw3/rJg4d2IdXsxZ6lyH8d9vk6zq+23b4mK0bV6vLcr66LFup083xncyaFYvU79uoy3IN9+/eYdumNVwIOk3bTGX5/Pkz9TEEqonkboVe1/txdO07fcz+vQHs3xvA3bA7LFs8n+ioCLzT2uSqFX5ay3KZ3/y0Nqkqy8xtUnV83+BW6A2Sk5OJiYnmVugNwh/c168As9i04z59PnakSX1ryjsWZcwIFxITU9gbmNHxP3akC1/0zbg96dg/MXRsU4YWjW0pXaowdTws+bxXeY7+E0Pmj0mFAtq0tGfPwQhSdA+e08m4WFFK1nSlZE1XAIqWL0fJmq4UdigNgMvPPtRcPl2d/s7i9RRxKkPV//ue4q4VKNevCw6fdeHmzGXqNLfn/Y5Nq4ZU+GYgxVwqUOGbgdi0aMDtuSv1D1C9nwqqN+rLuYOLuHVxH7EPr3F442gKmRSmkkc7dbqD60dx8g/VkPpCJmZY2VfReJkWLoGpWTGs7KtgXEh1oaV6435c/WczV09tIS4ilOM7pvIkPhy3+p/oFaOhtElDOFcawjkoI85ubN2UKc7ZU9I+vzPinOv7M2syfX63bd+V4HOn2L5ZFef2zdnjXLJwJkcO7+V/3/5E4aJFiYuLIS4uJtvttbkxhHZpKN/XhEhX4LuvmjVrxtmzZ9WdCJaWlri5ufHgwQONK/KBgYGMGTOGxo0bo1QqqVixIt27qw4kW1tbVqxYwQ8//MCcOXPw9PRkxowZtG+fcUIvW7YsEyZM4Pvvv+ezzz6jb9++rFixItf4FAoFAQEBjBkzhv79+xMVFYW9vT1NmjShVKlS+d7vb775hk8//RQ3NzeeP3/OrVu3dKadNm0aqamp9OnTh8ePH1OnTh3+/PNPLNOGxVlbW3Pw4EG+/fZbvLy8MDY2xsPDQ2NehnT29vYcPHiQpk2b0qtXL9auXfta9k9fjZo05/GjR2xct5K42FgcncozZsJ07OxUk1vGxcYQnWlypVL2pRk7YRrL/Obzx67tWFlbM+CLYTTI9BglVzd3fEb9xLpVS1m/ehml7Mvw9ahxVHHNec6N3HTs2oOXLxNZvGAWT588obJLVX6aNIMiRYuq00RHRaJQZPTrpceydtVS1q9eSin7MviMGq8RS8MmzXn8KIFN634nLjYGR6fy/JCpDPLqdZRlXGw0Xw8fqH7vv3UD/ls3UK16TSZN+1Wv+DJr36UXLxMTWbpwJk+fPKaSixs/TJylUZYxUREYGWWUpUvV6vzvu/FsWO3HhtVLKGVflv+Nmkhll4we/oT4WObPnERcbAxFixXD0bkiP0zwpUaW2Zdz09irGY8fP2LD2lXExsbi5OzMTxOmYpd2bMTFxRAdlfEjqZR9aX6aOIWlixcQsGsHVtbWfP7FUN5v1ESd5sWLF/y2YA4x0VGYmppR1sGBkd+MprFXM73LL91/sU2+vuO7Jy9fJuK3YKa6LH+c5JulLCMwynT53NWtOiNHjWPdqiVsSCvLkVnKMvR6CONH/0/9fuWSeQA0bfEBQ31+yHN8GWX5e1pZOjN2wjSNsozK0ibHTpjKcr8F/LHLX8fxHYOPjuP752mz8xxbVmu23MXM1AifIZUpUdyEy9ceMfKn8zx/njFar5RtYY3nga/ccAelEgb2Lo+ttSnxj5I49k8Mi1dpfkbW8bDE3q4wu/flb9JG89ruNDiwSv3ebYaqDu7+vpXzA0ZjVtqWImmdDADPb9/j1EeDcPMdjdOQXiQ+iOTSyMk83JbxaNy4E+c418sHlwkjcJkwnGehdznXcyTx/5zPV4zpajb9nOSkFxzdNpHE5wnYOdSg7cClmBYurk7zJP6B3vfTV/JoQ+KzeM7sn8+zR1FY2Vfmw/6LKGFZVq98DKlNFvRzpSrGgn0OStehS09eJiayZKEvT588oZJLVcZOnJktToVRRpwuVasz4rtxrF+9hPWrl2BvX5aRoyZofH7vDdgOwPjRmrc/fzliNM1atslzfIbQLg3p+1pBpccUNuIVUCiVUuSiYLh0I/xth5AnhjDDrCKn2c8KiCRlge/XBKCwkX5XQd6GZAMoS0NokwCpBXsgHwDG6HfL3tswaOT1tx1CnozeM+hth5CrkM1X33YIufqgmmF8fhvC8W0I3zEM5b71QoqC/4hFQ6jvapVK556ogDp04flb23az6rnPcfeuKfjfRoUQQgghhBBCCD2kGkDHzbuk4HfdvoPCwsIoXry4zldYWPZHZgkhhBBCCCGEEAWRjFh4C8qUKUNQUFCOfxdCCCGEEEIIkT+GctvOu0I6Ft6C9Ec3CiGEEEIIIYQQhk5uhRBCCCGEEEIIIUS+yYgFIYQQQgghhBDvFHn24ZslIxaEEEIIIYQQQgiRbzJiQQghhBBCCCHEO0Upj5t8o2TEghBCCCGEEEIIIfJNOhaEEEIIIYQQQgiRb3IrhBBCCCGEEEKId0qqTN74RsmIBSGEEEIIIYQQQuSbjFgQQgghhBBCCPFOUSpl8sY3SUYsCCGEEEIIIYQQIt9kxIIQQgghhBBCiHeKUuZYeKOkY0EUGPKs2Vcn1QAGIxVSpLztEPIkRWn8tkPIlRw7r44xBb9dplDw2+SUaXXedgh5cvrzq287hFy5dHV92yHkKvVK4NsOIU8M4VxZSJH8tkPIlSF8xwBIVhb8nznGBvJdSIi8MIwzgxBCCCGEEEIIIQqkgt+VJ4QQQgghhBBC6CHVAEYpvUtkxIIQQgghhBBCCCHyTUYsCCGEEEIIIYR4p8jkjW+WjFgQQgghhBBCCCFEvknHghBCCCGEEEIIIfJNboUQQgghhBBCCPFOUSpl8sY3SUYsCCGEEEIIIYQQIt9kxIIQQgghhBBCiHdKqkze+EbJiAUhhBBCCCGEEELkm4xYEEIIIYQQQgjxTpHHTb5ZMmJBCCGEEEIIIYQQ+SYdC0IIIYQQQgghhMg3uRVCCCGEEEIIIcQ7RYk8bvJNeudHLDRt2pQRI0a87TBytGLFCiwsLN5qDAqFgu3btwNw+/ZtFAoFQUFBeVq3X79+dOzY8bXFJoQQQgghhBCi4HpnRiwcPnyYZs2aERcX99Z/pOure/futGnTRq91mjZtioeHB7Nnz37l8Tg4OBAeHo6Njc0rz/vfUiqVbFy7gn17dvL0yWMqu7jx+ZARODqVz3G9E8cCWb9qKQ/DH2Bfugw9+37Oe+830UizZ9c2/LeuJy42FgdHZz4bNBQ395rvcIzL2Z8WYyUXNwYOGYlDLjH+feywRow9+g7UiPHyxSD8t6zn5o0Q4mJj+G7sZOo1aKx3fJpxFuyy/GPX9rR8YnBwLE//QUNxc6+hM/2lC0Es91vA3bBbWFnZ0LHrJ3i36aD+e9idW6xfvZzQGyFERUbw2cCv+Kjjx3rHlZkh1Le+9XHpQhAr/OZzN+w2llbWdOzaQ6McIW/tQF9/7NrO9q0b0urbmQG51PdFdX3fVtf3B23aq/8educW61YvJ/TGNaIiI+g/8Cs+6tj1X8VoCPWdHufODYv4a99Wnj19TPnK7vQc+D1lHSvqXOd+WCg71i/kTugVYqLC6f7Z17T8qJdGmmuXzvCn/+/cCb1CQlw0X47ypdZ7zfId45l987hyciOJzx9h51iDRh1/wsq+cp7WvxG0mwNrv8a5Wgu8P52v8bdLx9cSHLiUZ4+jsCxViffb/0Dp8nX0is+qUR0qfD0Ac093Cpex43SXL4nYcSDndRrXxW3G9xR3q0zig0hCfZcQtni9Rhr7Tq2pMv5/FK3oyLPQMEJ+mkWE/369YsvKEM7nhnDsBOzyZ/uWtHOQkzMDBn1FtRzPQcEs81vA3Tu3sbK2oVOX7nzQNuMctHfPLg4d2EfYnVsAVKxUhd6fDqCKS9V8xQeG8bkIqvretHY5+//cwZMnj6lcxY3Ph/jkrb5XLyEi/AGlSpehR59BGvW9beMqTp74i/v37mBqaoZLVXd69RtC2XKOesdoKGVZUMnjJt+sd37EwuuQlJT0SvMrUqQIdnZ2rzTPvHr58mW2ZcbGxtjb21OoUMHrd9q+eR07t23k88EjmD5rERaWVkwc+zXPnz3TuU7IlYvMnDYBr+at8Z23VPXvtPFcu3pZnebYXwdZ7jePLt37MGOOH1XdazB53CiiIiPe0RjXsmvbRgYMHsG0WYvTYvTJU4xNmnvjO28ZTZp7M3PaOI0YX7x4gXP5igwYPELvmLTHWbDL8qg6n974zllCVffq/DzuO535RDwM5+dx31PVvTq+c5bQuXsvli6ay4ljgeo0iYmJlLIvTZ9+g7CwtNIrHl0Ken3rWx8RD8OZPG4UVd1rMGOOH12692bZojka5ZiXdqCvo38dZJnffLp2743vHD/c3GswKZc4fx43Gjf3GvjO8aOLzvouQ59+g7D8j9R3uj3bVrJv5xp6DhzFmOmrMLewZtaEIbx4/lTnOi8TX2BTqiyd+wzH3EJ753di4gvKOVeh58BR/zrG4MNLOH9kBQ07/kjn4ZsoWsKW3X79efniSa7rPo67z9+7f8FeS2fBjaAAju+cSq3mg+nyv23Yl69DwNJBPI57oFd8xsWK8uh8CJf+NzFP6Ys4l6PuzsXEHj3D0boduTH9N6rNGoN9p9bqNBb1Pai1dhb31/hzpHYH7q/xx3PdbCzq6f4xkxcF/XyuirFgHztHAw+xbPF8Pu7ei5lzF+NWrTqTfvo+x3PQpJ9G41atOjPnLqZrt54sWTSP40f/Uqe5eD6Yxl7NmTR1JtN952Fra8f4sd8REx2VvxgN5HMRwH/LWnZt38CAwSOZNtMPC0srJv04Mtf6njV9PF7NvJkxdzlezbyZNf0nrodcUqe5dDEI77admDJjET9OmkVKSgo//+jDixfP9YrPkMpSCHiNHQs7d+7EwsKC1NRUAIKCglAoFHz77bfqNF988QU9evQA4Pjx4zRp0oQiRYrg4ODA8OHDefo048vF6tWrqVOnDiVKlMDe3p6ePXsSGRkJqIbuN2umuhphaWmJQqGgX79+6nVTU1P57rvvsLKywt7envHjx2vEmpCQwKBBg7Czs6NkyZI0b96c4OBg9d/Hjx+Ph4cHy5Yto0KFCpiZmaHM4fkl+u571lsh0re3atUqnJ2dMTc355NPPuHx48eA6taDwMBAfv31VxQKBQqFgtu3bwNw+fJl2rRpQ/HixSlVqhR9+vQhOjpanXfTpk0ZOnQoPj4+2NjY0KpVq2zxa7sV4tKlS7Rt25aSJUtSokQJGjduTGhoqMZ6M2bMoHTp0lhbW/PVV1+98g4YpVLJLv9NdOneh/oNm+DoXIFhPqNJTEzkSKDuKym7/DdTs1ZtOnfrTTkHJzp36031mrXZ5b9JnWbnto00b92Glt7tKOfoTP9Bw7C2seXPAP93Msbd/pvo3L0P9Rt6pcX4Q1qM+3Sut9t/EzVq1aFzt96UzRTj7kwxetapT4++A6nf0EuvmHTFWdDLcue2TbRo3YZW3u0o5+jEgEHDsLax05nPnwE7sLG1Y8CgYZRzdKKVdzuat/oQ/60b1GkqV3Hl0wFDaOTVAhMTE73i0cYQ6lvf+tgb4I+NrR39Bw2jnKMzLb3b0bxVG3Zszbjqmpd2oK8d6vpui4OjEwMGDcXaxo49ATu0ps+o76E4ODrRyrstzVt9yPatG9VpKldxpd+AwTT2ak6h/0h9p8d5YNda2nQZgGf9FpR1qsRnwyfyMvEFJ//6Q+d65StX4+NPR1KvkbfO8qru2ZBOPb/Cs36Lfx3jhaO/49l8MBWqt8bKvgrNuk8jOekFN4J25bhuamoKB9d9S51WwyhpVS7b3y8cWYFr3S5Ufe9jLEtVpGH7HyhuYc/lv9fpFWPUn39xbdxsHm7XXbeZOQ36hBdh4Vz+egpPrt7k7rLN3F2xlQo+/dVpyg/7lOj9xwn9ZTFPQ24S+stiog/+jfOwT/WKLTNDOJ8bwrHjv20TLVt/SKsPVOegz78Yio2tHXt2az8H7QnYia2dHZ9/kXYO+qAtLVp9iH+mc5DPd2No064DFSpWopyDI18O/xplqpLzwefyFaMhfC5Cen1vpHP3vrz3vqq+h/qMITExkaM51fcOVX136taHsg5OdOrWB/cs9T12oi/NWrbBwak8zhUq8eWI0URHRXDzRoheMRpKWYo3Ky4ujj59+mBubo65uTl9+vQhPj5eZ/qkpCRGjRpF9erVKVasGGXKlKFv3748eKDZkd20aVP178r01yeffKJXbK+tY6FJkyY8fvyYc+dUJ6bAwEBsbGwIDMzoNTt8+DBeXl5cuHABb29vOnfuzPnz59mwYQNHjx5l6NCh6rQvX75k0qRJBAcHs337dm7duqXuPHBwcGDLli0AhISEEB4ezq+//qped+XKlRQrVoyTJ0/yyy+/MHHiRPbtU500lEolbdu25eHDhwQEBHDmzBk8PT1p0aIFsbGx6jxu3LjBxo0b2bJlS65zD+iz77qEhoayfft2du3axa5duwgMDGTatGkA/PrrrzRo0ICBAwcSHh5OeHi4+vYFLy8vPDw8OH36NHv27CEiIoJu3bpp5L1y5UoKFSrEsWPHWLRoUY77AnD//n2aNGlC4cKFOXjwIGfOnKF///4kJyer0xw6dIjQ0FAOHTrEypUrWbFiBStWrMg1b31EPAwnPi6Wmp4ZV39MTEyp5l6TkCsXda537eolataqq7HMw7MuIVdUvctJSUmE3riGR5Y0NT3r5pivocYYqY4xIy8TE1Pc8hFjTc96em8/rwp6WaryCdG6ratXLmld59rVS3h4Zk1fj9DrIRrH06tU0Os7P/URcvWSxv6Aqtwzl2Nu7SD/cWpeffbwrMNVnXFexsNTM32tLHG+agW9vtNFR9wnIT6aah71NeKsUq02oSHnX8s29fU49h7PHkdRrkpD9TLjQqaUrlCXiDs5/+g6s38+hYtZ4Vov+20tKckvibp/SSNfgHKVGxJxO38/5vLKor4HUfuPaSyL2nsE89ruKNJGKVrW9yB6/1GNNNH7jmDZoFa+t1vQz+dQ8I8d9b5mOad41Kqj8zMn5MqlbOesWrXrcCOHc9DLxERSUpIpXrxEPmMs+J+LAJERafVdK2t9e+RS3xe17F/O9f0s7UJp8eIl8xyfIZVlQaZUvr3X69KzZ0+CgoLYs2cPe/bsISgoiD59+uhM/+zZM86ePcuPP/7I2bNn2bp1K9euXaN9+/bZ0mb+bRkeHp6n34mZvbax7ubm5nh4eHD48GFq167N4cOHGTlyJBMmTODx48c8ffqUa9eu0bRpU6ZMmULPnj3VkyxWrlyZOXPm4OXlxcKFCylcuDD9+2f0pleoUIE5c+ZQr149njx5QvHixbGyUg3nsbOzyzbHQo0aNRg3bpw673nz5nHgwAFatWrFoUOHuHDhApGRkZiZmQGqK+/bt29n8+bNDBo0CFB1bKxatQpbW9tXuu+6pKamsmLFCkqUUJ3Y+/Tpw4EDB5g8eTLm5uaYmppStGhR7O3t1essXLgQT09PpkyZol62bNkyHBwcuHbtGlWqVAGgUqVK/PLLL7nuR7r58+djbm7O+vXr1b2b6Xmls7S0ZN68eRgbG+Pq6krbtm05cOAAAwcO1JpnYmIiiYmJGsteJiZimlYH2sTHqTp6LCw0h26ZW1gSFaV7yGN8XCwWlpYayywsLdX5PX6UQGpqCuZZ8rWwyEiTV4YQY1xcjNYYLSysiIp6mO8YX7WCXpaqfFKxsNDclnkO+cTFxeKRJb2FhSUpKSk8epSAlZV1nrefVwW9vvNTH/FxsVrK3YqUlBQeP0rA0sr6lcevq75VccZpXScuLpZaUt9aJcSr4ixpoVkGJS2siIkKfy3b1Nezx6qh4EWKa8ZYpLg1T+J137Lw8PZZQk5tocuI7Vr//uJpHMrUlOz5lrDm2eNoreu8KmalbEiM0NzGy8gYjExMMLWxJPFhFGb2NiRGxGikSYyIwcw+9+8/uhT08zkU/GNH52eOpSVxOs+VcZhnjS2Xc9Dvy/2wsrahZq3ary7GAva5CBCfVt9Z2465hSXRkTnXd/Z1rHTun1KpZOWSebi61cDRuUKe4zOkshRvzpUrV9izZw9///037733HgB+fn40aNCAkJAQXFxcsq1jbm6uvqCebu7cudSrV4+wsDAcHTPm/sj621Jfr3WOhaZNm3L48GGUSiVHjhyhQ4cOuLu7c/ToUQ4dOkSpUqVwdXXlzJkzrFixguLFi6tf3t7epKamcuuWajKZc+fO0aFDB5ycnChRooT6R3lYWFiucdSooXlfYOnSpdW3UZw5c4YnT55gbW2tsf1bt25pDPV3cnLKU6eCvvuui7Ozs7pTIWvMupw5c4ZDhw5p7Ef6NjLvS506+k0OFRQUROPGjXMcMlWtWjWMjY3zHO/UqVPVQ3jSX0sWzdVI89ehffTq8oH6lZKi6m1VKLI+OkaJItfHyWj+XanMnk/WbJVKLQuzMIwY99K7i7f6lZKSoj2vPMSY9e9KpVLLvuaPIZSl1i1pySinbLKmV6Lq1n5VD0QylPrOti0960Nbu9CSKlue/zr+rPWnzLnZ6K7vV3XcGEZ9/x0YwNCeDdWv9OM7G+WrKxt9XT+7k6VjPdWv1PQYtZaB9hhfvnjCwXXf0qTLJIoUs9SaJiOLbJX02o4vze1kOVbSt5l5ubY0elyCM4TzuaEcO9k3pu0zJ4dzpZby07YcYOum9RwJPMj3Yydgamr6L0IsWJ+LAEcO7aV319bqV/oV/OxNMpeTOrr2T/s6S3+bRdjtUEZ8Ny5fcRfEsjQkb3PEQmJiIo8ePdJ4Zb2oqq8TJ05gbm6u7lQAqF+/Pubm5hw/fjzP+SQkJKBQKLJdjF+zZg02NjZUq1aNb775Rn0bfl691tn5mjZtytKlSwkODsbIyAg3Nze8vLwIDAwkLi5OfStAamoqX3zxBcOHD8+Wh6OjI0+fPqV169a0bt2a1atXY2trS1hYGN7e3lonH8wq6w9ihUKhnv8gNTWV0qVLc/jw4WzrZS7sYsWK6bHned/3/MSsS2pqKh999BHTp0/P9rfSpUur/6/vvhQpUiTXNPrGO3r0aHx8fDSW3biredWv7nsNqZxpVuL0ORvi4mKwzNTrmhAfn+1qQWYWltl7khPi4zBP69UtUdIcIyPj7GkS4rL1FGdlGDE2orKLm/p9sjrGWCytMiY/S4jPfmUja4xZr4okxMerY/y3DKEsM1PlY5S9TBLis13NSGepNbZ4jI2NKVHSPM/bzomh1He6/NSH9tjiNMoxt3aQvziNtMapK09LHWWoijPvQ2JzYij17VHPiwpV3NXv04/vR/ExWFhldNo/SojNNorhTXFya0ZXx4wLESnJqu8Xzx9HU6xkxgTLz5/EULSE9hgfxd7lcdx99qwYol6mVKo+Cxd/X43u3/5BcXN7FEbGPM8yOuH5k5hsoxhetcSI6GwjD0xtrUhNSuJlTLwqzcNozOw1J8Y0s7PKNtIhJ4ZwPjeUYyedznNQfHwO58rsV7cTEuK0noO2b9nA5o1rmDh5Bs7ldT+ZJS8xFrTPRYA67zWikpb6js9a3wnx2UatZKZqk5ojenR9Diz9bRanTx5jwrS5WNvoN0l7QS5LkTdTp05lwoQJGsvGjRuXba4/fTx8+FDrhP92dnY8fKh7pE1mL1684Pvvv6dnz56UzHQe6NWrF+XLl8fe3p6LFy8yevRogoODs412yMlrHbGQPtfA7Nmz8fLyQqFQ4OXlxeHDhzXmGPD09OTSpUtUqlQp28vU1JSrV68SHR3NtGnTaNy4Ma6urtmuhqf3rKb3OOeVp6cnDx8+pFChQtm2/W8et5jXfc8vU1PTbPuaXo7Ozs7Z9kXfzoTMatSowZEjR17pZIxmZmaULFlS45X1NogiRYtSukw59cvB0RkLSyvOnzutTpOUlMSli8G4VHXPugm1Kq7VCA46rbEs+NwpXKpWA1SdIhUrVSH4nGaa8+dO55ivocZYTkeMl/MQ4/mgU1pizHn7eWUIZZmZKh+XbPkEnzuNa9q2tMaWLf0pKlZ2eWVPYTGU+k6Xn/pwca2msT8AQVnKMbd28KriDD53BledcboRfO5MljhP/yfru3CRYtiVdlS/yjhUwNzChsvBf6vTJCclce3SGSq6/LunD+SXaeHimNs4qV+WpSpRtIQt965nXAVKSX5J+M1TlHKqpTUPC9sKfOyzg64jtqlfzm7NKVPxPbqO2EZxc3uMC5liW7aaRr4A964fp5Sz9nxflfi/g7Bp8b7GMttWjUg4cxFl2hXcuL+DsGmhOf+DTctGxJ3I+/wPhnA+N5RjJ136vgZlO6ec0fmZ41K1Wvb0Z09TKcs5aNvm9Wxct5pxk6ZTqUr2odT6xVjwPhchp/rOqDtVfQflUt/u2T5/sta3UqlkycJZnDz+F+Mmz6aUfRm94y3IZSnyZvTo0SQkJGi8Ro8erTXt+PHjs02cmPV1+rSqbrWNjsnrKKmkpCQ++eQTUlNTWbBggcbfBg4cSMuWLXF3d+eTTz5h8+bN7N+/n7Nnz+Z5n19rx0L6XAOrV69W37rQpEkTzp49qzHHwKhRozhx4gRfffUVQUFBXL9+nR07djBs2DBANWrB1NSUuXPncvPmTXbs2MGkSZM0tuXk5IRCoWDXrl1ERUXx5Enuj4ICaNmyJQ0aNKBjx478+eef3L59m+PHjzN27Fh1Bb7Ofc8vZ2dnTp48ye3bt4mOjiY1NZWvvvqK2NhYevTowT///MPNmzfZu3cv/fv317vDJbOhQ4fy6NEjPvnkE06fPs3169dZtWoVISH6zW77bykUCtp1+JgtG9dw8vhfhN2+ybxZUzEzM6OxV0t1ujm+k1m9YrH6fdv2XQk+e5ptm9Zy7+4dtm1ay/mgM7TrkPHc3o86dePA3t0c2Lube2G3Wb54HtFRkbTO9Lz5dynGth0+ZuvG1eoY56tjzHhKyBzfyaxZkTFpSxt1jGu4f/cO2zat4ULQadpmivH582fcCr3OrdDrgGrCrluh1/P12C9DKMuPOn2clk8A98LusGzxPKKjItT5rF6xmF99M+Y88W7TnqjICJb7zede2B0O7A3gwN4AOnTurk6TlJSkLsPk5GRiY6K5FXqd8Af39C5DMIz6zq0+Vq9YzBzfyer0rdt0SCvHedwLu82Bvbs5uDeA9p0zZi/OSzvQV/tOH7N/bwD79wZwN+wOyxbPJzoqAu82HwGwaoWf1vpe5jefu2F32J9W3x07Z0yoq6rvG9wKvUFycjIxMdHcCr1B+IP7+YrREOo7Pc4W7XoSsGUZZ/8+yP07N1g+bxymZoV5r8mH6nRLf/2RraszbpNLTkoi7FYIYbdCSE5OIi42krBbIUSGZ9wW+eL5M3UagOjI+4TdCtF77gaFQkH1Rn05d3ARty7uI/bhNQ5vHE0hk8JU8minTndw/ShO/uELQCETM6zsq2i8TAuXwNSsGFb2VTAupLoIUr1xP67+s5mrp7YQFxHK8R1TeRIfjlt9/WbgNi5WlJI1XSlZU3XbY9Hy5ShZ05XCDqpRii4/+1BzecYoxjuL11PEqQxV/+97irtWoFy/Ljh81oWbM5ep09ye9zs2rRpS4ZuBFHOpQIVvBmLTogG3567UK7bMDOF8bgjHTodOH7P/zwD27/2Du2F3WJr1HLTcj9kzpqrTf9DmI9U5aPGCtHPQH+zf+wcdMp2Dtm5az5rflzN0xLfY2dkTFxtLXGwsz5/r92jEdIbwuQjp9d2NrZsy1ffsKZiZmdEoU33P9f2ZNSt+U79v274rwedOsX2zqr63b85e30sWzuTI4b3879ufKFy0KHFxMcTFxeg9DN5QyrIgS1Uq3tpL20VUMx1zyQ0dOpQrV67k+HJ3d8fe3p6IiOznjaioKEqVKpVjWSQlJdGtWzdu3brFvn37NEYraOPp6YmJiQnXr1/Pc3m/9u6rZs2acfbsWfUPaUtLS9zc3Hjw4AFVq6qGydWoUYPAwEDGjBlD48aNUSqVVKxYke7dVQeCra0tK1as4IcffmDOnDl4enoyY8YMjdksy5Yty4QJE/j+++/57LPP6Nu3b56eSqBQKAgICGDMmDH079+fqKgo7O3tadKkSa4V9Cr2Pb+++eYbPv30U9zc3Hj+/Dm3bt3C2dmZY8eOMWrUKLy9vUlMTMTJyYkPPvgAI6P89yFZW1tz8OBBvv32W7y8vDA2NsbDw4OGDRvmvvIr1rFrD16+TGTxglk8ffKEyi5V+WnSDIoULapOEx0ViUKRsb+ubu74jPqJtauWsn71UkrZl8Fn1HiquGYMiWvYpDmPHyWwad3vxMXG4OhUnh8mTMfOTv8JTAwjxp68fJmI34KZ6hh/nOSbJcYIjDL1frq6VWfkqHGsW7WEDWkxjswSY+j1EMaP/p/6/col8wBo2uIDhvr8kI84C3ZZNmrSnMePHrFx3UriYmNxdCrPmEz5xMXGEJ1pYrJS9qUZO2Eay/zm88eu7VhZWzPgi2E0yPQIsrjYaL4enjHpqf/WDfhv3UC16jWZNO1XveJLV9DrO7f6UJVjxii1UvalGTNhOsv95rEnrRz7fzFcoxzz0g70lVHfv6fVtzNjJ0zTiDMqS5xjJ0xlud8C/tjlr6O+Y/DRUd8/T5udrzgLen2n+6DTpyS9fMHaxdN4+vQRFSq7M/KnBRQukjHCLjb6IYpMn1/xcVFM+rqH+v1e/1Xs9V9FlWq1+XaSHwB3Qi8z46dB6jQbl88EoEGzj+g/THNYam5qNv2c5KQXHN02kcTnCdg51KDtwKWYFi6uTvMk/oHe99NX8mhD4rN4zuyfz7NHUVjZV+bD/osoYVlWr3zMa7vT4MAq9Xu3Gap6uPv7Vs4PGI1ZaVuKOGTcCvn89j1OfTQIN9/ROA3pReKDSC6NnMzDbXvVaeJOnONcLx9cJozAZcJwnoXe5VzPkcT/8++e1lHQz+eqGAv2sdPIqxmPHj9iw9q0c5CzMz9OmIpdKdW+xsbFZjsH/ThxKssWzycg7Rz0+RdDeb9RE3WaP3b7k5ycxC9Txmtsq3vPvvTo3S/PsaljNJDPRYAOXXryMjGRJQt9efrkCZVcqjJ24sxs9a0wyqhvl6rVGfHdONavXsL61Uuwty/LyFETqOySMYpgb8B2AMaP1rzF+8sRo2nWsk2e4zOkshT/jo2NTZ5Gyjdo0ICEhAT++ecf6tWrB8DJkydJSEjg/fff17leeqfC9evXOXToENbWud92d+nSJZKSkjRup8+NQql8nQ/EECLvLt7I271BIndKA5imR6F1sr2CxxDiTH29g89eCUMoRwAjcp7LpiBIwTj3RG9ZXGLx3BMVAKdvFM090Vvm0lX3RM8FhdOVwLcdQp4YwmdjIUXBfyxgqrLgf+YApCgL/rnSWJH/EcVvSrVKef9hWdCsO/b2vnv0aPh6zjcffvghDx48UD8KctCgQTg5ObFz5051GldXV6ZOnUqnTp1ITk6mS5cunD17ll27dmlcOLeyssLU1JTQ0FDWrFlDmzZtsLGx4fLly3z99dcUKVKEU6dOaUzQnxPDODMIIYQQQgghhBD/YWvWrKF69erqBxvUqFGDVatWaaQJCQkhISEBgHv37rFjxw7u3buHh4cHpUuXVr/SnyRhamrKgQMH8Pb2xsXFheHDh9O6dWv279+f504FeAO3QryLwsLCcHPTPZz28uXLGs8EFUIIIYQQQgjx5ryL4/KtrKxYvXp1jmky35Dg7OxMbjcoODg4EBj470eeScdCPpQpU4agoKAc/y6EEEIIIYQQQvwXSMdCPqQ/mlIIIYQQQgghhPivk44FIYQQQgghhBDvlNR38FaIgkwmbxRCCCGEEEIIIUS+yYgFIYQQQgghhBDvFKWy4D9i9l0iIxaEEEIIIYQQQgiRb9KxIIQQQgghhBBCiHyTWyGEEEIIIYQQQrxTlDJ54xslIxaEEEIIIYQQQgiRbzJiQQghhBBCCCHEO0UeN/lmyYgFIYQQQgghhBBC5JuMWBBCCCGEEEII8U6RORbeLBmxIIQQQgghhBBCiHyTEQuiwFAg3YqvihGpbzuEXKUaSL+mEsXbDiFXhlDf4r/F0uzJ2w4hTz6olvC2Q8hV6pXAtx1Cru5U9XrbIeTJsd/Ov+0QcqUo+B859PaKftsh5EmSsuD/zDEygO8YQuRVwT/ihBBCCCGEEEIIPcitEG+WYVwyFEIIIYQQQgghRIEkIxaEEEIIIYQQQrxT5HGTb5aMWBBCCCGEEEIIIUS+SceCEEIIIYQQQggh8k1uhRBCCCGEEEII8U6RyRvfLBmxIIQQQgghhBBCiHyTEQtCCCGEEEIIId4pqalvO4L/FhmxIIQQQgghhBBCiHyTEQtCCCGEEEIIId4pMsfCmyUjFoQQQgghhBBCCJFv0rEghBBCCCGEEEKIfJNbIYQQQgghhBBCvFPkVog3S0Ys6OH27dsoFAqCgoLedih5olAo2L59+7/KY/z48Xh4eLySeIQQQgghhBBCvHtkxMIb0Lp1aw4cOMCxY8eoX7++3usrFAq2bdtGx44dX31wBuSPXdvx37qeuNgYHBzL03/QUNzca+hMf+lCEMv9FnA37BZWVjZ07PoJ3m06qP8educW61cvJ/RGCFGREXw28Cs+6vhxgYsT4MSxQNatWsbD8AfYly5Dz76fU//9xv8qxu1bN6TF6MyAXGK8qI7xtjrGD9q0V/897M4t1q1eTuiNa0RFRtB/4Fd81LFrvuNLp1Qq2bh2Bfv27OTpk8dUdnHj8yEjcHQqn+N6J44Fsn7VUo3yeu/9Jhpp9uzallZPsTg4OvPZoKG4udfUO0Z987l0IYgVfvO5G3YbSytrOnbtobW+c4tfH4bSJgt6jOlxFvRjR3XcLGd/2nFTycWNgUNG4pDLcfP3scMa7a5H34Ea7e7yxSD8t6zn5o0Q4mJj+G7sZOo1yH95GkKchlPfBfc8adWoDhW+HoC5pzuFy9hxusuXROw4kPM6jeviNuN7irtVJvFBJKG+SwhbvF4jjX2n1lQZ/z+KVnTkWWgYIT/NIsJ/v16xadOiljF1XYwpYgZ3o5TsOJ5MZLzuy56elY3o2sQk2/KfViSSnKL6v7O9gsbVjSlrbUTJYgpW7U/iyp38PweveXqMpqoYd57IOcZalbTHOG5lRowA77ka0ah6IUoUgch4JbtPJnMnQv9LvgG7/Nm+Je24cXJmwKCvqJbjcRPMMr8F3L1zGytrGzp16c4HbTOOm717dnHowD7C7twCoGKlKvT+dABVXKrqHVtmSqWSzWuXceDPHTx58pjKVdzoP8QHB6cKOa538thhNqxeQkT4fUqVLssnfQZS730v9d+3bVzFPycCeXDvDqamZlSpWp1e/YZQppxjvmIsyMd3QZcqIxbeqHdyxMLLly/fdghqYWFhnDhxgqFDh7J06dK3HY7BOvrXQZb7zaNL9974zllCVffq/DzuO6IiI7Smj3gYzs/jvqeqe3V85yyhc/deLF00lxPHAtVpEhMTKWVfmj79BmFhaVVg4wy5cgnfaRPwat6amfOW4NW8Nb7TxnPt6uV8x7jMbz5du/fGd44fbu41mDRuVC4xjsbNvQa+c/zoorMsy9Cn3yAsX1FZAmzfvI6d2zby+eARTJ+1CAtLKyaO/Zrnz57pXCfkykVmppWX77ylWsvrmLqe+jBjjh9V3WswOYcy0EXffCIehjN53Ciqutdgxhw/unTvzbJFc7LUd+7x68NQ2mRBjzE9TkM4drZvXsuubRsZMHgE02YtTjtufPJ03DRp7o3vvGU0ae7NzGnjNMrrxYsXOJevyIDBI/4TcRpOfRfs86RxsaI8Oh/Cpf9NzFP6Is7lqLtzMbFHz3C0bkduTP+NarPGYN+ptTqNRX0Paq2dxf01/hyp3YH7a/zxXDcbi3q6f7zmRZMaxjR0N2bniWQW7EjiyXMl/T8wwTT7b3INL14qmbI2UeOV+Qe7aSEFD2NVHQD/VuPqxjSsphnjZx+YYJrLpcIXL5VMXZeo8cocY/XyRrR5rxCBwcnM90/idkQqn7Y2wbyYfvEdDTzEssXz+bh7L2bOXYxbtepM+un7HI+bST+Nxq1adWbOXUzXbj1Zsmgex4/+pU5z8Xwwjb2aM2nqTKb7zsPW1o7xY78jJjpKv+Cy2LFlDbu3b+CzwT5MmbkEc0trJv84Msdj59qVi8yePo7Gzbz5Ze4KGjfzZvb0n7geckmd5srFc3i37czPMxYxZtIsUlNSmPzjSF68eK53jAX9+BYis3eiY6Fp06YMHToUHx8fbGxsaNWqFYGBgdSrVw8zMzNKly7N999/T3Jyxgl9z549NGrUCAsLC6ytrWnXrh2hoaEa+f7zzz/UqlWLwoULU6dOHc6dO6d3bMuXL6ddu3YMGTKEDRs28PTpU42/Ozs7M3v2bI1lHh4ejB8/Xv13gE6dOqFQKNTvARYuXEjFihUxNTXFxcWFVatWZdt+eHg4H374IUWKFKF8+fJs2rRJ4++jRo2iSpUqFC1alAoVKvDjjz+SlJSULZ9Vq1bh7OyMubk5n3zyCY8fP1b/rWnTpgwfPpzvvvsOKysr7O3t1fG/Kju3baJF6za08m5HOUcnBgwahrWNHX8G+GtN/2fADmxs7RgwaBjlHJ1o5d2O5q0+xH/rBnWaylVc+XTAEBp5tcDEJJdvDW8xzp3+m6lZqw5duvWinIMTXbr1onpNT3b5b85XjDvUMbbFwdGJAYOGYm1jx56AHbnEOBQHRydaebeleasP2b51ozpN5Squ9BswmMZezSn0ispSqVSyy38TXbr3oX7DJjg6V2CYz2gSExM5Eqj7qtQu/83UrFWbzt16U87Bic7delO9Zm12+We0/Z3bNtK8dRtaerejnKMz/QcNw9rGVmc96aJvPnsD/LGxtaP/oGGUc3SmpXc7mrdqw46tGVfi8hK/fjEW/DZpCDGCYRw7SqWS3f6b6Ny9D/UbeqUdNz+kHTf7dK63238TNWrVoXO33pTN1O52Z2p3nnXq06PvQOo39NKZz7sUp6HUd0E/T0b9+RfXxs3m4Xbd9ZqZ06BPeBEWzuWvp/Dk6k3uLtvM3RVbqeDTX52m/LBPid5/nNBfFvM05Cahvywm+uDfOA/7VK/Ysnq/mjGHg1O4dCeViDglmwKTMSkEHhVy/rqsVMKT55qvzK7dS2XfGVW+/1bDtBgv30klMl7J5r+SMTGGmhX/XYwN3Y05cy2V09dSiUpQEnAyhYSnSt5zNdYrPv9tm2jZ+kNafaA6bj7/Yig2tnbs2a39uNkTsBNbOzs+/yLtuPmgLS1afYh/puPG57sxtGnXgQoVK1HOwZEvh3+NMlXJ+WD9v5enUyqVBPhvolP3vrz3vuoc9JXPGBITEzkauFfnegE7NlKjVh06detDWQcnOnXrg3vN2gT4Z8T7w8SZNG3ZBgenCjhXqMyQEaOJjorg5o0QvWMs6Me3EJm9Ex0LACtXrqRQoUIcO3aMKVOm0KZNG+rWrUtwcDALFy5k6dKl/Pzzz+r0T58+xcfHh1OnTnHgwAGMjIzo1KkTqamp6r+3a9cOFxcXzpw5w/jx4/nmm2/0ikmpVLJ8+XJ69+6Nq6srVapUYePGjbmvmMmpU6cAVQdFeHi4+v22bdv43//+x9dff83Fixf54osv+Oyzzzh06JDG+j/++CNdunQhODiY3r1706NHD65cuaL+e4kSJVixYgWXL1/m119/xc/Pj1mzZmnkERoayvbt29m1axe7du0iMDCQadOmaaRZuXIlxYoV4+TJk/zyyy9MnDiRffvy9iUiN0lJSYTeCKFmrboayz0863L1yiWt61y7egkPz6zp6xF6PUSjg+lVel1xXrt6CY8sedbyrKczz9xjvIZHrTpZtlmHq1cual0n5OplPDw109fyrPtayxJUVzHi42KpmWnbJiamVHOvSYiOWEFVXtrqICStvDLKQDNNTc+6OeabVX7yCbl6iZrZ6rtutvrOKX59GE6bLNgxZsRZ8I+dSPVxk7HvJiamuOXjuKnpWU+vY+JditNQ6rugnyfzw6K+B1H7j2ksi9p7BPPa7igKqS7LW9b3IHr/UY000fuOYNmgVr63a1kCShZVcP1+xo//lFS49TAVx1I5f102NYFvu5sy6hNT+rYqRGlrRb7jyC3GEkUV3MgS4+2HqTja5R7jN91M+a67KX1aFqK0VUaMxkZQxlrBjQeaHR837ueeb2bqdpPlOPCoVUfnuTfkyqVsx1mt2nW4kcNx8zIxkZSUZIoXL5Hn2LKKjHhAfFwMNWrVUy9TnYM8uJbjsXNRYx2Amp7v5bjOs7SLisWLl9Qrxnfx+H7TlErlW3v9F70zHQuVKlXil19+wcXFhYCAABwcHJg3bx6urq507NiRCRMm4Ovrq+446NKlC507d6Zy5cp4eHiwdOlSLly4wOXLqmFCa9asISUlhWXLllGtWjXatWvHt99+q1dM+/fv59mzZ3h7ewPQu3dvvW+HsLW1BcDCwgJ7e3v1+xkzZtCvXz++/PJLqlSpgo+PD507d2bGjBka63/88cd8/vnnVKlShUmTJlGnTh3mzp2r/vvYsWN5//33cXZ25qOPPuLrr7/O1vmRmprKihUrcHd3p3HjxvTp04cDBzTvj6xRowbjxo2jcuXK9O3blzp16mRLk1liYiKPHj3SeL1MTNSa9vGjBFJTU7GwsNRYbm5hSXxcrNZ14uJiMc+S3sLCkpSUFB49StAZ17/xuuKMj4vF3DJLnpa688xPjBYWlsTHxemMUVv611mWgHr/LCw0hwubW1gSl8O+x8fFYpGlvCwylZeqDFIwz5KvRQ71pE1+8onXUpbmFlakpKTwOFN95xS/Pgy5TRakGHOKs6AdO3FxMWnbydourXLc91fZ7vKioMdpKPVd0M+T+WFWyobEiGiNZS8jYzAyMcHURhWzmb0NiRExGmkSI2Iws7fN93ZLFFH90H7yXPMHwZPnULyI7o6CqHglW/5KZtW+JDYcSiI5Bb5oZ4J1yVffuaAzxhcZf9MmOkHJliPJrN6fxIbDqhgHZYqxqBkYGym073vRvMen83xuqbs9xsfFZTtX53bc/L7cDytrG2rWqp334LJtVxVP1jae02dP+npZP39yWkepVPL7krm4utXA0TnnuRt0xfguHd/i3fbOdCzUqZPRm3flyhUaNGiAQpFxkm3YsCFPnjzh3r17gOoqfM+ePalQoQIlS5akfHnVJChhYWHqPGrWrEnRohln1AYNGugV09KlS+nevTuF0nrYe/TowcmTJwkJ0W8olDZXrlyhYcOGGssaNmyoMRoBssfcoEEDjTSbN2+mUaNG2NvbU7x4cX788Ud1GaRzdnamRImMXuHSpUsTGRmpkaZGDc37GrWlyWzq1KmYm5trvPwWzdWZHtCoTwCUSrIuyim9EtUH5uu5jqB7u68iTkWWqJW55JmHILOGmM8YX11p/nVoH726fKB+paQka902KPOwXW37p7lMSzXlXAi6tqRnPtr2R0uqbHlmXy/vDKFNGkKMaRvOkufbPXb+OrSX3l281a+UlBRtYaLMw3Gjvbz+W3Fm31hBq2/DPE/qLevVvvRtZl6uLY0eVwlrVjRiXF9T9cs4/Ruxjk3rcjdKSVBoKg9jldyOULLuYDLRCUoauP37r9g1KxjxUx9T9csohyxz2vO7UUqC02K8E6Fk/aFkYhKU1K+qmaHWYs/PhVet5/McPhe1tEVtywG2blrPkcCDfD92AqampnkO6cihvfTt2kr9SklOP3ayhZprnWc7znP4jF7220zCbocy/Lvxucb4nzm+3yCl8u29/ovemadCFCuWMbuMti8Z6UNS0pd/9NFHODg44OfnR5kyZUhNTcXd3V098eO/HcISGxvL9u3bSUpKYuHCherl6aMgpk+fDoCRkVG2bWmb40AbbfuYly9X6Wn+/vtvPvnkEyZMmIC3tzfm5uasX78eX19fjfRZ5x9QKBTqkR/6pMls9OjR+Pj4aCwLvau9l7RESXOMjIyy9c4mJMRn621NZ2mZ/apXQnw8xsbGlChprjOuf+N1xWmhJc2jeN155iXGbNtMiMvWA585xmz7pI5Rv2F9Oan7XkMqZ5rhOf04iIuLwdLKWmPbWXviM9NWXgnxGfunKgNjrWWQ9SpLTvKTj4XWsozLtb4zx68PQ2qTBTnGzHEWtGOn7nuNqOzipn6frD5uYrG0ssm03exXBTPT3jbj89XuDDnOdAW3vg3rPJkfiRHR2UYemNpakZqUxMuYeFWah9GY2dtopDGzs8o20iEnV8JSuRuZMdl3IWPVd6PiRRU8znTlvljh7CMEcqIE7kcrsS5pBKTkljz3GKO0xFhEM8bi+YjxXrQSG3NVjM8SISVVSYmimj0Jqn3Pe7w6j5v4+Bw+F7NfJU9IiNN63GzfsoHNG9cwcfIMnMtXzHtgQJ0s56CkJFW5xmc5Bz1KiMvxc0LrZ4uO88Ky32Zx5uQxxk+bh7WNXa4x/heOb/Fue2dGLGTm5ubG8ePHNX6wHz9+nBIlSlC2bFliYmK4cuUKY8eOpUWLFlStWpW4LEMb3dzcCA4O5vnzjDPq33//necY1qxZQ7ly5QgODiYoKEj9mj17NitXrlTfN2Zra0t4eLh6vUePHnHr1i2NvExMTNRXd9JVrVqVo0c17y88fvw4VatqPnona8x///03rq6uABw7dgwnJyfGjBlDnTp1qFy5Mnfu3MnzPv4bZmZmlCxZUuNlamamNa2JiQkVK7kQfO60xvLgc6dxrVpN6zpVXKtpSX+KipVd1CNIXrXXFWcV12oEB2mmCTp3SmeeucdYRcs2z+Ba1V3rOi6ubgSfO5Nl+6dfeVkWKVqU0mXKqV8Ojs5YWFpxPlOsSUlJXLoYjIuOWEF7eQWfO4VLWnnpKoPz507nmG9W+cnHxbWaxv6Aqi5zq+/M8evDcNpkwY4xI86Cd+xkPW7K6ThuLufhuDkfdEpjmard5f2YeBfiTGco9V3Qz5P5Ef93EDYt3tdYZtuqEQlnLqJM++4U93cQNi00R23atGxE3Im8T+b3MgliH2e8IuOVPHqmpFKZjK/GxkZQ3t6IsAj9Jl0sbaX5wz+/XiZnj/HxMyWVymrG6GxvRFhkPmJ8pooxJRUexGjuO0ClMvrlm95ugrIdB2d0nntdqlbLnv7saSplOW62bV7PxnWrGTdpOpWquOQ5pnRFihbFvkw59aucY3ksLK05fy7jfJKclMTli0FUyfHYcddYB+D8uX801lEqlSxbOJN/jgfy4+RfsbMvk+cY3/Xj+01LTX17r/+id7Jj4csvv+Tu3bsMGzaMq1ev4u/vz7hx4/Dx8cHIyAhLS0usra1ZvHgxN27c4ODBg9munvfs2RMjIyMGDBjA5cuXCQgIyDZ/QU6WLl1K165dcXd313j179+f+Ph4du/eDUDz5s1ZtWoVR44c4eLFi3z66acYG2vOwOvs7MyBAwd4+PChugPk22+/ZcWKFfz2229cv36dmTNnsnXr1mwTTG7atIlly5Zx7do1xo0bxz///MPQoUMB1bwUYWFhrF+/ntDQUObMmcO2bdv0Lu834aNOH3Ng724O7A3gXtgdli2eR3RUBK3Tng++esVifvWdok7v3aY9UZERLPebz72wOxzYG8CBvQF06NxdnSYpKYlbode5FXqd5ORkYmOiuRV6nfAH9wpUnO3adyHo7Cm2blrLvbt32LppLeeDztCuQ/6efd6+08fs3xvA/r0B3A27w7LF84mOisC7zUcArFrhpzXGZX7zuRt2h/1pMXbs3E2dRlWWN7gVeoPk5GRiYqK5FXqD8Af38xUjqEa9tOvwMVs2ruHk8b8Iu32TebOmYmZmRmOvlup0c3wns3rFYvX7tu27Enz2NNvSymuburw+Vqf5qFO3tHrazb2w2yxfPI/oqEh1PeVVbvmsXrGYOb6T1elbt+mQVt/zuBd2mwN7d3NwbwDtO3+iV/z6xVjw26QhxAiGcewoFAradviYrRtXq4+b+erjppU63RzfyaxZsUj9vo263a3h/t07bNu0hgtBp2mbqd09f/5Mfc4E1cRit0Kv5+vxZIYQp6HUd0E/TxoXK0rJmq6UrKm6qFG0fDlK1nSlsENpAFx+9qHm8unq9HcWr6eIUxmq/t/3FHetQLl+XXD4rAs3Zy5Tp7k973dsWjWkwjcDKeZSgQrfDMSmRQNuz12pXwFmcfxSCk1rGuPmZEQpSwVdmxQiKRmCbmb8SujapBCt62R8T2tey5jKZRVYllD9WO/cWDV54z9XMi4ImRZS/S19wkSr4qr/6/soR4Bjl1LwqqGK0c5CQZfGhUhKgeDQLDHWzhSjhzGVMsfYKC3GqxkxHruYQu0qRtSubIStuYI29YwxL66ZJi86dPqY/X8GsH/vH9wNu8PSrMfNcj9mz5iqTv9Bm49Ux83iBWnHzR/s3/sHHTIdN1s3rWfN78sZOuJb7OzsiYuNJS42VuPin74UCgVtOnzM9k2r+Od4IGG3b7Jg9mTMzMxo5JXxaNN5vpNYu+I39fsP23/M+XOn8N+8mvt37+C/eTUXgk7TpkNGvEsX+nLk8F6GfzuOIkWLEh8XQ3xcjM65xHKKsaAf30Jk9s7cCpFZ2bJlCQgI4Ntvv6VmzZpYWVkxYMAAxo4dC6huP1i/fj3Dhw/H3d0dFxcX5syZQ9OmTdV5FC9enJ07dzJ48GBq1aqFm5sb06dPp0uXLrlu/8yZMwQHB+Pn55ftbyVKlKB169YsXbqUDh06MHr0aG7evEm7du0wNzdn0qRJ2UYs+Pr64uPjg5+fH2XLluX27dt07NiRX3/9lf/7v/9j+PDhlC9fnuXLl2vsA8CECRNYv349X375Jfb29qxZswY3N9VQsA4dOjBy5EiGDh1KYmIibdu25ccff3zlj4p8FRo1ac7jR4/YuG4lcbGxODqVZ8yE6djZ2QMQFxtDdFTGl8ZS9qUZO2Eay/zm88eu7VhZWzPgi2E0yPT4sbjYaL4ePlD93n/rBvy3bqBa9ZpMmvZrgYnT1c0dn1E/sW7VUtavXkYp+zJ8PWocVVzdsm1fvxh/T4vRmbETpmnEGBWVMT+GKsapLPdbwB+7/HWUZQw+Osry52mz8xUnQMeuPXj5MpHFC2bx9MkTKrtU5adJMyiSae6T6KhIFIqMPtL08lq7ainrVy+llH0ZfEaN1yivhk2a8/hRApvW/U5cbAyOTuX5IVM95VVu+ajqW7Msx0yYznK/eexJq+/+XwzXWt85xa8Pw2qTBTdGzTgL9rHTsWtPXr5MxG/BTPVx8+Mk3yzHTQRGmW6dc3WrzshR41i3agkb0trdyCztLvR6CONH/0/9fuWSeQA0bfEBQ31+eOfiNJz6LtjnSfPa7jQ4kPE4bLcZqjq4+/tWzg8YjVlpW4qkdTIAPL99j1MfDcLNdzROQ3qR+CCSSyMn83BbxiMA406c41wvH1wmjMBlwnCehd7lXM+RxP9zXq/YsvrrfAomxtD+/UIUMYV7UUqW/5nEy0x3qFoUV2jcP13YFDo2MqFEEXjxUnXlf/HuJO5FZyQqa6NgYNuM+QDa1ld9/T5zLYUtR/R7YsiRCymYFIL2DQpROD3GPUm8zJSNeTEtMTbMiDE8Rolflhgv3EqlqFkyzTwKUaIoRMQp+X1vEvGaT0nPVSOvZjx6/IgNa9OOG2dnfpwwFbtSqnYTGxeb7bj5ceJUli2eT0DacfP5F0N5v1ETdZo/dvuTnJzEL1PGa2yre8++9OjdT78AM2nfpRcvExNZunAmT588ppKLGz9MnKVx7MRERWCUaXILl6rV+d9349mw2o8Nq5dQyr4s/xs1kcouGSMy9gVsB2DC6GEa2xsy4geatmyjV4wF/fgWIjOF8r/6PAxR4Fy6EZ57IpEninzNtvRmpb6bA6beCkOob0NhCGWZgn7PlRe6Gf/Le+DfBEM4V96p6pV7ogLg2G//ruPhTTCEufN6e+V9Lou3KTE175M7vi2FFAX/HOReyXA7G2bveHuf6SPaG8DB/IoV/E8rIYQQQgghhBBCFFjSsZBPgwcPpnjx4lpfgwcPftvhCSGEEEIIIcR/Vqry7b3+i97JORbehIkTJ2abKDFdyVf4CD4hhBBCCCGEEKIgk46FfLKzs8POLvdn0gohhBBCCCGEEO8y6VgQQgghhBBCCPFOkUcUvFkyx4IQQgghhBBCCCHyTUYsCCGEEEIIIYR4pyjf6iyK8rhJIYQQQgghhBBCiDyTEQtCCCGEEEIIId4p/9XHPr4tMmJBCCGEEEIIIYQQ+SYdC0IIIYQQQgghhMg3uRVCCCGEEEIIIcQ7RR43+WbJiAUhhBBCCCGEEELkm4xYEEIIIYQQQgjxTkmV2RvfKBmxIIQQQgghhBBCiHyTEQuiwFCieNsh5IkhxKlUFvwYjRUpbzuEd0aqAfQRKzCMqwaGUJbGyLHzqhhCfRvCZ86x386/7RDypOHgGm87hFwdX1TwyzJZaRg/H0wUyW87hFwZwvEtRF4ZxplBCCGEEEIIIYTII5m88c0q+F31QgghhBBCCCGEKLBkxIIQQgghhBBCiHeKjFh4s2TEghBCCCGEEEIIIfJNRiwIIYQQQgghhHinpMqQhTdKRiwIIYQQQgghhBAi36RjQQghhBBCCCGEEPkmt0IIIYQQQgghhHinKFPfdgT/LTJiQQghhBBCCCGEEPkmIxaEEEIIIYQQQrxTlDJ54xslIxaEEEIIIYQQQgiRb9KxIIQQQgghhBBCiHyTWyGEEEIIIYQQQrxTUmXyxjdKRizk0e3bt1EoFAQFBb3R7cbGxtKvXz/s7e2xsrKiR48exMbGvtEYhBBCCCGEEEIIXWTEwmvWunVrDhw4wLFjx6hfv77e6w8bNoxz586xfft2zM3NGTFiBN988w3Lli17DdHmjUKhYNu2bXTs2PGNb1upVLJx7Qr27dnJ0yePqezixudDRuDoVD7H9U4cC2T9qqU8DH+Afeky9Oz7Oe+930QjzZ5d2/Dfup642FgcHJ35bNBQ3Nxr5jPG5exPi7GSixsDh4zEIZcY/z52WCPGHn0HasR4+WIQ/lvWc/NGCHGxMXw3djL1GjTWO770GDetXc7+P3fw5MljKldx4/MhPnmLcfUSIsIfUKp0GXr0GaQR47aNqzh54i/u37uDqakZLlXd6dVvCGXLOeod4x+7tqfVRwwOjuXpP2gobu41dKa/dCGI5X4LuBt2CysrGzp2/QTvNh000pw4Fsi6Vcs02kH99/NXhoYUpyG0yYw45fj+t2X5x67tbN+6Ia1NOjMglzZ5Ud0mb6vb5Adt2qv/HnbnFutWLyf0xjWiIiPoP/ArPurYNV+xGVKMIG3yVR7fAC1qGVPXxZgiZnA3SsmO48lExuueXM2zshFdm5hkW/7TikSSU1T/d7ZX0Li6MWWtjShZTMGq/UlcuaPfZUqrRnWo8PUAzD3dKVzGjtNdviRix4Gc12lcF7cZ31PcrTKJDyIJ9V1C2OL1GmnsO7Wmyvj/UbSiI89Cwwj5aRYR/vv1ik2b5unlaKoqx50nci7HWpW0l+O4lRnlCPCeqxGNqheiRBGIjFey+2QydyLyN/mdIbTLV/35HXbnFutXLyf0RghRkRF8NvArPur4cb5iS6fveeLShSBW+M3nbthtLK2s6di1h9bvGLmdn94VMnnjm/XOjVh4+fLl2w5BLSwsjBMnTjB06FCWLl2arzz27NnD119/Tf369alQoQKNGzdmz549/yqu/JZRQSjb7ZvXsXPbRj4fPILpsxZhYWnFxLFf8/zZM53rhFy5yMxpE/Bq3hrfeUtV/04bz7Wrl9Vpjv11kOV+8+jSvQ8z5vhR1b0Gk8eNIioyIh8xrmXXto0MGDyCabMWp8Xok6cYmzT3xnfeMpo092bmtHEaMb548QLn8hUZMHiE3jFl5b9lLbu2b2DA4JFMm+mHhaUVk34cmWuMs6aPx6uZNzPmLsermTezpv/E9ZBL6jSXLgbh3bYTU2Ys4sdJs0hJSeHnH3148eK5XvEdVddHb3znLKGqe3V+HvedzvqIeBjOz+O+p6p7dXznLKFz914sXTSXE8cCM8V/Cd+0djBz3hKt7UBfhhKnIbRJVZxyfP/bsjz610GW+c2na/fe+M7xw829BpNy2FdVmxyNm3sNfOf40UVLm0xMTKSUfRn69BuEpaXVv4rPUGJMJ23y1R3fTWoY09DdmJ0nklmwI4knz5X0/8AE0+y/dzW8eKlkytpEjVfmH8OmhRQ8jFX9uM4v42JFeXQ+hEv/m5in9EWcy1F352Jij57haN2O3Jj+G9VmjcG+U2t1Gov6HtRaO4v7a/w5UrsD99f447luNhb1dP9wzYvG1Y1pWE2zHD/7wATTXC4VvnipZOq6RI1X5nKsXt6INu8VIjA4mfn+SdyOSOXT1iaYF8tfnAW9Xb6Oz2/Veag0ffoNwuIVnIf0PU9EPAxn8rhRVHWvwYw5fnTp3ptli+Zk+Y6R+/lJiPwy+I6Fpk2bMnToUHx8fLCxsaFVq1YEBgZSr149zMzMKF26NN9//z3JyRkfOHv27KFRo0ZYWFhgbW1Nu3btCA0N1cj3n3/+oVatWhQuXJg6depw7tw5vWNbvnw57dq1Y8iQIWzYsIGnT59q/N3Z2ZnZs2drLPPw8GD8+PHq97GxsVhbW/P8+XPef/99Ll26xIoVKzTWuXz5Mm3atKF48eKUKlWKPn36EB0dnWMZAbmWk7b1nJ2dAejUqRMKhUL9Pjg4mGbNmlGiRAlKlixJ7dq1OX36tN5llhOlUsku/0106d6H+g2b4OhcgWE+o0lMTORIoO4rALv8N1OzVm06d+tNOQcnOnfrTfWatdnlv0mdZue2jTRv3YaW3u0o5+hM/0HDsLax5c8Af71j3O2/ic7d+1C/oVdajD+kxbhP53q7/TdRo1YdOnfrTdlMMe7OFKNnnfr06DuQ+g299IpJe4wb6dy9L++9r4pxqM8YEhMTOZpTjDtUMXbq1oeyDk506tYH9ywxjp3oS7OWbXBwKo9zhUp8OWI00VER3LwRoleMO7dtokXrNrTybkc5RycGDBqGtY2dzvr4M2AHNrZ2DBg0jHKOTrTybkfzVh/iv3VDRp7+m6lZqw5duvWinIMTXbr1onpNT3b5b9YrNkOL0xDaZHqccnz/+7LcoW6TbXFwdGLAoKFY29ixJ2CH1vQZbXIoDo5OtPJuS/NWH7J960Z1mspVXOk3YDCNvZpTyCSXX4HvSIwgbfJVHt8A71cz5nBwCpfupBIRp2RTYDImhcCjQs5fRZVKePJc85XZtXup7Dujyje/ov78i2vjZvNwu+4yy8xp0Ce8CAvn8tdTeHL1JneXbebuiq1U8OmvTlN+2KdE7z9O6C+LeRpyk9BfFhN98G+ch32a7zgBGqaV4+U7qUTGK9n8VzImxlCz4r8rx4buxpy5lsrpa6lEJSgJOJlCwlMl77ka6x2jIbTL1/H5XbmKK58OGEIjrxaYvILzkL7nib0B/tjY2tF/0DDKOTrT0rsdzVu1YcfWjJE0eTk/CZFfBt+xALBy5UoKFSrEsWPHmDJlCm3atKFu3boEBwezcOFCli5dys8//6xO//TpU3x8fDh16hQHDhzAyMiITp06kZo2w8fTp09p164dLi4unDlzhvHjx/PNN9/oFZNSqWT58uX07t0bV1dXqlSpwsaNG3NfUYe9e/dy48YN1q5dS+vWGT3i4eHheHl54eHhwenTp9mzZw8RERF069ZNZxktWrSI+/fv51pO2tY7deoUoOo0CQ8PV7/v1asX5cqV49SpU5w5c4bvv//+lZxUM4t4GE58XCw1Peuol5mYmFLNvSYhVy7qXO/a1UvUrFVXY5mHZ11CrqiutCclJRF64xoeWdLU9KybY77aRKpjzMjLxMQUt3zEWNOznt7bz1OMEWkx1soao0cuMV7UUo45x/gsrTOtePGSeY5PVR8hWuvs6pVLWte5dvUSHp7ZYwu9HqLuLLt29VK2Oq7lWU9nnu9KnIbQJkGO71chY1/raCz38KzDVR3bCrl6GQ9PzfS1POtqtMn/WozppE2+OpYloGRRBdfvZ/z4T0mFWw9TcSyV81dRUxP4trspoz4xpW+rQpS2VryWGPVhUd+DqP3HNJZF7T2CeW13FIVUQwcs63sQvf+oRprofUewbFAr39u1LAEliiq4kaUcbz9MxdEu93L8ppsp33U3pU/LQpS2yihHYyMoY63gxgPNzpkb93PPV5uC3i5f1+f3q49Rv/NEyNVLGmWuirFutu8YOZ2f3jWpyrf3el3i4uLo06cP5ubmmJub06dPH+Lj43Ncp1+/figUCo1X1lv0ExMTGTZsGDY2NhQrVoz27dtz7949vWJ7J+ZYqFSpEr/88gsAv//+Ow4ODsybNw+FQoGrqysPHjxg1KhR/PTTTxgZGdGlSxeN9ZcuXYqdnR2XL1/G3d2dNWvWkJKSwrJlyyhatCjVqlXj3r17DBkyJM8x7d+/n2fPnuHt7Q1A7969Wbp0KZ999lm+9tHKyopHjx6xefNmPv44436thQsX4unpyZQpU9TLli1bhoODA9euXaNKlSrZyghgzJgxuZaTtvX+n737DmvqfP84/g6ICA6miAq4BRHFXTfWhXXPWmfd2lb9KdW2dqmtVm2LWmvbb0XFvavioNaqxa1VK05ExQEuZgAnM78/gEAgYQlC9H5dVy5N8pxzPrnPSHjynJM05ubm2Nraqu8HBwczffp0nJycAKhVq1a+Xmd2opVRqcvWHF5mZm5BeLju4aPRyijMLSw0HjO3sFDP73FsDMnJSZhlmq+5eXqb3FIqI7VmNDe3JDz8Ub4zFqTo1IyZX6+ZuQURYdlnzDqNpc6MKpWK1cuX4uRcH4eq1XOdL2V9JGNurlkPs2zWh1IZRYNM7c3NLUhKSiI2NgZLS6uU/JlqbPYSNdaXnPqwTaYtLy1XRrJ/556ubTLltSq1TqNURtEwh23yTcuYRrbJglPWJOWP2CfPNT9tP3kO5mV0dxSER6v440gij5QqShmljHoY392In3ckEBlbdOdOG1ewJi40QuOx+LBIDIyMKGltQdyjcIxtrYkLjdRoExcaibFt+XwvV2cdX4B5ad11jIhR8cfRREKVKoyNoKWzIeO6G7F0Z0odTY3B0EChdf2UMc17zuK+XRbW+3fBZ8zbcSJaGaXlNVmSlJTE49gYLFI/Y7zKfV8UvMGDB3Pv3j31qfHjxo1j2LBh7N69O9vpunTpgre3t/p+yZIlNZ6fMmUKu3fvZtOmTVhZWfHxxx/TvXt3zp07h6Fh7kYuvRYdC02apH+bEBAQQIsWLVAo0g+wrVq14smTJ9y7dw8HBweCgoL46quvOHXqFBEREeqRCsHBwbi4uBAQEICrqyumpulH0xYtWuQp04oVKxg4cCAlUnuuBw0axPTp0wkMDMTR0THPr7FNmzZ8/fXXDBo0iH/++YeffvoJIyMjzp07xz///EOZMmWyTBMUFKTuWMhYI8hdnbRNp4uHhwdjxoxh7dq1dOzYkQEDBlCjRg2d7ePi4oiLi9N4LD4ujpLGxur7R/75m9+Xeqrvfz5rPoBG5hQqFOT0DYbm8ypV1vlknq1KpeXBTI78s59lGTLOmLVA+7xykTHz8yqVSstrzbuj/+zn919+TM84U3vG1KJkn1FLkXRlXPG/RQTfCeLb73/Jc2bdy8p9exUpH5AyPqq9xvmKp3O5RZ1TH7bJlJyyfxdULbMuTFs9smuua5ssxG+Gi2FG2SYLbpt0rWFA71bpHzHX7E9IC6aZIYfFhYSrCAlPn+huaCIf9TaihbMBe04lZTPlK5D5onBpLybj49ra5OFicq7VDeiVsY5/J+iOk818MtcxODSRj3oZ0byOAXtPp9dR60vKRVx92S6zLKsQ3r8LWl6PE9qOV1paZZlnob0fFTFVYQ4dKAIBAQHs27ePU6dO8dZbbwHg5eVFixYtcvwb09jYWONL4YxiYmJYsWKF+u84gHXr1mFvb8+BAwfUX5Tn5LXoWChdOv3KMtoOQGlXBE17vEePHtjb2+Pl5UWlSpVITk7GxcVFfXHCl72CaFRUFDt37iQhIYHffvtN/XjaKIgFC1IOuAYGBlmWlZCg+01j9uzZvPPOO/Tt2xdDQ0N+/vlnkpOT6dGjh3qeGVWsWFH9/4w1gtzVSdt0usyaNYvBgwezd+9e/vzzT2bOnMmmTZvo06eP1vbz5s1j9uzZGo99MOljPpycfspJ07daUcuxjvp+Wm2UykgsMvQMx0RHZ+l9zcjcIuu36jHRSsxSe3XLljPDwMAwa5sYZZae38yavtWaWo7O6vuJ6oxRWFhaay4vh4zKLBmj1RlfRpO3WlNTS8bozBljorN8u5A5Y9poh/RplFozrvjfIs6ePs7s+T9jZW2Tp7wp68Mgaz1iorP03Kex0LqOozE0NKRsObMM+TXbxEbrnqe+5tSHbTIlp+zfBVXLNGnbpLbXqmtZFjqypWyTuT+F6XXIKNtkwW2TAcHJhISlX/C5hGHK54oypgoeZ/hWvHSprN++Z0cF3I9QYVXOACi6joW40IgsIw9KlrckOSGB+MjolDaPIjC2tdZoY2xjmWWkQ3YCgpMJCddSRxPNOpbJRx3vRaiwNkup47M4SEpWUdZUsychZf3kPD992S7TFNb7d8FnzNtxQnv9lDl+xsh4fBIFR9uXqMbGxhhn+BI1r06ePImZmZm6UwGgefPmmJmZceLEiWw7Fvz8/LCxscHc3Bw3Nzfmzp2LjU3KZ/Rz586RkJCgcbp9pUqVcHFx4cSJE7nuWHgtrrGQkbOzMydOnND4g/3EiROULVuWypUrExkZSUBAAF9++SUdOnSgTp06KDMNv3R2dubChQs8f55+ND116lSuM6xfvx47OzsuXLiAv7+/+rZ48WJWr16tPs+pfPnyPHz4UD1dbGwst2/fznbezZs3Z+zYsRw8mPIzSI0aNeLKlStUrVqVmjVratyy6xTIqU7ZMTIyIikp6xt67dq1mTp1Kvv376dv374aw20ymzFjBjExMRq3MeMnabQxMTWlYiU79c3eoSrmFpZcPJ9+UciEhASuXL6AYx0Xncuq7VSXC/6aF5K8cP4MjnXqql9PjZq1uXBes83F82ezna+2jHY6Ml7NRcaL/me0ZMx++bmhO2P68lIy+ueQ0UXjdWnLqFKpWP7bIk6fOMLMuYupYFspz3lT1odjlvVx4fxZnFLXWdZsdbW0P0ONWo7qUUPatgP/82d0zlNfc+rDNqktp+zfL0/Xa71w/hxOOpbl6OTMhfPnNB7zP39WY5t8UzLKNllw22R8AkQ9Tr+FRauIfaaiZqX0j52GBlDN1oDg0LxddLGipeYf1UUh+pQ/1h1aajxWvlNrYs5dRpX6GU95yh/rDq002lh3bI3yZO4vBh6fmLWOj5+pqFlZs45VbQ0IDstHHZ+l1DEpGR5Eaq4fgJqVcjdffdku0xTW+3fBZ8zbccLRqW6Wz2n+ufiMkfH49LpRqYruNm/ePPV1ENJu8+bNe6nX8+jRI3VnQEY2NjY8eqT7NKN33nmH9evXc+jQITw9PTlz5gzt27dXd3w8evSIkiVLYpGp469ChQrZzjez165j4cMPPyQkJIRJkyZx7do1fHx8mDlzJh4eHhgYGGBhYYGVlRXLli3j5s2bHDp0CA8PD415DB48GAMDA0aPHs3Vq1fx9fXlxx9/1LHErFasWEH//v1xcXHRuI0aNYro6Gj27t0LQPv27Vm7di1Hjx7l8uXLvP/++zrPYdm2bRs3b97k0qVL7Nu3jwYNGgDw0UcfERUVxaBBg/j333+5desW+/fvZ9SoUVr/+M9tnbJTtWpVDh48yKNHj1AqlTx//pyJEyfi5+fH3bt3OX78OGfOnKFOnTo652FsbEy5cuU0biVz6MFTKBR07zWAP7as5/SJIwTfucXSRfMwNjamjVtHdbslnnNZt2qZ+n63nv258N9ZdmzdwL2Qu+zYuoGL/ufo3iv9WhU9+rzLwf17Obh/L/eC7+C9bCkR4WF0zvA76bmhUCjo1msA27esU2f8RZ2xk0bG9at+V9/vqs64nvshd9mxdT2X/M/SLUPG58+fcTvoBreDbgApFxa7HXQjzz9PlpLxXbZvzZBx8XcYGxvTOkPGnz3nsH7V/9T3u/Xsz4XzZ9i5LSXjzm1ZMy7/bSFH/fbzf9O/ppSpKUplJEplZJYe25z06DMgdX34ci/4LiuXLSUiPFS9PtatWsZPnunXFXHv2pPwsFC8vX7hXvBdDu735eB+X3r1Hahu071nP/z/O8P21O1gu3o7yP9v3etDTn3YJtNyyv798rXs2WcAB/b7cmC/LyHBd1m57BciwkNx79oDgLWrvLRukyu9fiEk+C4HUrfJ3n3TLwCckJDA7aCb3A66SWJiIpGREdwOusnDB/fzlE2fMoJskwW5fwOcuJJEO1dDnKsYUMFCQf+2JUhIBP9b6X+49m9bgs5N0j8HtW9oSK3KCizKpvwh3LdNysUb/w1I/3xTskTKc2kXI7Qsk/L/vPxMomFpU8q5OlHONeU6UabV7Cjn6kQp+5SRn45zPHD1Th8ZenfZJkyqVKLOD59Rxqk6diP6YT+yH7cWrlS3ubN0DdadWlF92lhKO1an+rSxWHdowZ2fV+etcJkcv5KEW/2UOtqYK+jXpgQJSXAhKFMdG2eoYwNDamasY+vUOl5Lr+Pxy0k0rm1A41oGlDdT0LWZIWZlNNvklj5sl4Xx/p1yHErJlpiYSFRkBLeDbvDwQd4ugJeeMfvjxLpVy1jiOVfdvnPXXqkZl3Iv+A4H9+/l0H5fevZ9T90mN8cnUTC0fYk6Y8YMrW1nzZqV5eKKmW9pv7an7bSVnE4ZGjhwIN26dcPFxYUePXrw559/cv36dfXfpLrk9VSk1+JUiIwqV66Mr68v06dPx9XVFUtLS0aPHs2XX34JpJx+sGnTJiZPnoyLiwuOjo4sWbKEdu3aqedRpkwZdu/ezYQJE2jYsCHOzs4sWLAgy0UftTl37hwXLlzAy8sry3Nly5alc+fOrFixgl69ejFjxgxu3bpF9+7dMTMz49tvv9U5YuF///sfJ06cwMTEhPbt27No0SIgZZjK8ePH+fTTT3F3dycuLo4qVarQpUuXbDsIcqpTdjw9PfHw8MDLy4vKlStz/fp1IiMjGT58OKGhoVhbW9O3b98spzoUhN79BxEfH8eyXxfx9MkTajnW4etvf8Qkw/UwIsLDUCjSX7uTswsen37NhrUr2LRuBRVsK+Hx6SxqO6UP22vVtj2PY2PYunENyqhIHKpU4/PZC7Cx0X4uUvYZBxMfH4fXrwvVGb/61jNTxlAMMuyoTs71mPrpTDauXc7m1IxTM2UMuhHIrBn/p76/evlSANp16MJEj8/zlLFXv8HEx8Wx/DdPnj55Qk3HOnz5zcIsGRUG6Rkd69Rjyicz2bRuOZvWLcfWtjJTP51NLcf0Xu79vjsBmDVjssbyPpwyg7c7ds11vtZt2/M4NpYtG1ejjIrCoUo1vsiwPpRRkURkuHhaBduKfDl7Piu9fuHPPTuxtLJi9PhJtMjwc1Rp28HGtSvYtG4lFWwr8fGnMzVqnFf6klMftsmUnLJ/p8lvLdO3yTWp22RVvpw9X2ObDA8PU7dP2Sbn4e31K3/u8dG6TSqjIvGYPFZ932f7Zny2b6ZuPVfmzF+c62z6lDGNbJMFt38fuZiEkSH0bFkCk5JwL1yF918JxGc4A9S8jELjPP9SJaF3ayPKmsCL+JRv1ZftTeBeRHqjytYKxnZLvwhZt+YpH23PXU/ij6O5u1q/WWMXWhxcq77v/GPK6wtZs52Lo2dgXLE8Jvbpp5c+v3OPMz3G4ew5gyofDCHuQRhXps7l0Y796jbKk+c5P8QDx9lTcJw9mWdBIZwfPJXofy/mrmA6HL2UhFEJ6NmiBKXS6rgvgfgML9WstJY6tkqv48NIFV6Z6njpdjKmxom83aAEZU0hVKlizf4EojV/KT3Xivt2WRjv38qoCD7WcRz6dv5Puc6WJqfjREpGzWPlF7MX4O21lH2pGUeNn6z1M0Z2xydRMPJy2sPEiRN57733sm1TtWpVLl68SGho1k608PBwKlSokOtsFStWpEqVKty4kdJBZ2trS3x8PEqlUmPUQlhYGC1bttQ1mywUqpe9oIAQBeTyzdwPtSlKqkK9TE/BUKmKf0ZDRRFfeOs1kqwHg88UubkCWDGgD/u3YRGeW/660Yd9Rx+2yY2HzYs6Qq60mlC/qCPk6MTvL9fx8Cq81za6qCPkigF5Oz2kKOjD/u1SM+8dnsXFZ14vimzZ88eWKvB5BgQE4OzszOnTp2nWrBkAp0+fpnnz5ly7di3XPxAQGRlJ5cqVWbZsGcOHDycmJoby5cuzbt063n03ZTTgw4cPsbOzw9fX9829xoIQQgghhBBCCPE6qVOnDl26dGHs2LGcOnWKU6dOMXbsWLp3767RqeDk5MSOHTsAePLkCdOmTePkyZPcuXMHPz8/evTogbW1tfoi+2ZmZowePZqPP/6YgwcPcv78eYYOHUq9evXUvxKRG9KxkA8TJkygTJkyWm8TJkwo6nhCCCGEEEII8UZTqVRFdiss69evp169enTu3JnOnTtTv3591q5dq9EmMDCQmJgYAAwNDbl06RK9evWidu3avP/++9SuXZuTJ09StmxZ9TSLFi2id+/evPvuu7Rq1QpTU1N2796t8/p/2sipEPkQFhZGbGys1ufKlSun9WqdImdyKkTBkVMh3iz6MJxbToUoOHIqRMHRh31HH7ZJORWi4MipEAVHToUoGPp8KsSny3Lxe6mFZME4kyJbdlF57S7e+CrY2NhI54EQQgghhBBCCIF0LAghhBBCCCGEeM2oiv+glddK8R8DKIQQQgghhBBCiGJLRiwIIYQQQgghhHitJMulBF8pGbEghBBCCCGEEEKIfJMRC0IIIYQQQgghXivy44evloxYEEIIIYQQQgghRL5Jx4IQQgghhBBCCCHyTU6FEEIIIYQQQgjxWklOllMhXiUZsSCEEEIIIYQQQoh8kxELQgghhBBCCCFeK3LtxldLRiwIIYQQQgghhBAi32TEghB5ZEhSUUfIkUqhKOoIOVJR/DPqCwOSizpCjvRlfetDLZPlO4ECow/bZQlFYlFHyJEevOUAcOL3i0UdIUctx9cv6gg5CzhS1AlyRUHx/7paH45BQuSWdCwIIYQQQgghhHitqOTija+UfO0hhBBCCCGEEEKIfJMRC0IIIYQQQgghXivJcvXGV0pGLAghhBBCCCGEECLfZMSCEEIIIYQQQojXilxj4dWSEQtCCCGEEEIIIYTIN+lYEEIIIYQQQgghRL7JqRBCCCGEEEIIIV4rcirEqyUjFoQQQgghhBBCCJFvMmJBCCGEEEIIIcRrRQYsvFoyYkEIIYQQQgghhBD5Jh0LQgghhBBCCCGEyDc5FUIIIYQQQgghxGtFLt74asmIBSGEEEIIIYQQQuSbdCy8pDt37qBQKPD39y/qKEIIIYQQQgghAJVKVWS3N5GcCvEK3blzh2rVqnH+/HkaNGhQ1HHybdasWezcubNIOlNUKhVbNqzi7327efrkMbUcnRnzwRQcqlTLdrqTxw+zae0KHj18gG3FSgwePoa3WrZVP3/l8gV8/tjIrZvXUUZF8smXc3irRZt8Zfxzz052bt+MMioSe4eqjB43EWeX+jrbX77kj7fXr4QE38HS0pre/d+jS9ee6ueD795m4zpvgm5eJzwslFFjP6JH7/75ypYxo8/2TakZqzEqh4xX1BlvqzO6d+2lkXHTOm+CbgYSHhbKyLEf0aP3gJfKuG/PjtSMUdg7VGXkuIk4u7hmm3GV1y+EBN/BwtKK3v0HaWSEnLeD/CisbRLyXgNdCnp9p+XfuHalRv7mLfO3z6SRWhZMLfWhjvqSMyWjNwdSM9Z0dGbsB1OxzyHjqeN+GhkHDR+rkfHqZX98/tjErZuBqe85c2mWz/cc3z0+7Pwj9T2nSlVGj/uIutm+51xgpdevhNy9g6WVNX36DaRLt/T3nP379vDPwb8JvnsbgBo1azP0/dHUdqyTr3wZtW9oSFNHQ0xKQki4it0nEwmL1v0BvGFNA/q3Ncry+MzVcSQmpd9/y8mA1vVKUNYEwqJV7D2dyN3Q/H2wL84ZLVs3ofrHozFr5EKpSjac7fchobsOZj9Nm6Y4//gZZZxrEfcgjCDP5QQv26TRxrZPZ2rP+j9MazjwLCiYwK8XEepzIE/ZMtOHfUcfPq/pw3FSiDRvzIiF+Pj4oo5QbKhUKhITE1/ZdAVp57aN7N6xhTETprBg0e+YW1jyzZcf8/zZM53TBAZcZuH82bi174zn0hUp/86fxfVrV9Vt4l48p2q1moyZMOWl8h07coiVXr/Qf+BQPJd44exSn29nfkp4WKjW9qGPHjJn5gycXerjucSLfgOHsOL3nzl5/HB6trg4KthWYtiIcVhYWL5UvrSM3l5L6TdwKJ5LllPHpR5zZn6SQ8bPqONSD88ly+mrM2NFho0Yh3kBZDyuzjiMH5d4UcelPnNzqOPcmZ9Sx6U+Py7xot/Aoaz8fYlGxtxsB/lRWNtkXmugS2Gs78CAK3im5l+4dLnUspjVsrjXUZ9y7ty2gT07tjB6whTmL1qWmtEjVxnbtnfHc+lK2rZ3Z+H8mRoZX7x4QdVqNRj9su85h/9h5bJfGDBwCAt/XoZz3Xp8+/Vn2W6T3349A+e69Vj48zL6vzuY5b8v5cSxI+o2ly9eoI1be76dt5AFnkspX96GWV9+QmRE+EtlbVPPkFZ1Ddl9MpFfdyXw5LmKkV2MKJnDV1wv4lXM2xinccv4B3u9agZ0fasEhy8k8otPAndCk3m/sxFmpV+/jIalTYm9GMiV//smV+1NqtrRdPcyoo6d41jT3txc8D/qLvoC2z6d1W3Mmzeg4YZF3F/vw9HGvbi/3odGGxdj3kz3H9i5Uez3HT34vAb6cZwszpKTVUV2exO9th0L7dq1Y+LEiXh4eGBtbU2nTp04fPgwzZo1w9jYmIoVK/LZZ59p/KG8b98+Wrdujbm5OVZWVnTv3p2goCCN+f777780bNiQUqVK0aRJE86fP5/vjH5+figUCg4ePEiTJk0wNTWlZcuWBAYGqtvMmjWLBg0asHbtWqpWrYqZmRnvvfcejx8/VrdRqVR8//33VK9eHRMTE1xdXdm2bVuW5fz11180adIEY2Njjh49SlxcHJMnT8bGxoZSpUrRunVrzpw5k+10a9euZfbs2Vy4cAGFQoFCoWDVqlXqrA4ODhgbG1OpUiUmT56c79poo1Kp2OOzlX4Dh9G8VVscqlZnkscM4uLiOHpYd8/6Hp9tuDZsTN93h2JnX4W+7w6lnmtj9vhsVbdp1KR5yreErV7u2+tdO7bSoXNXOrl3w96hCqPHTcTK2oZ9vru0tv/LdxfW5W0YPW4i9g5V6OTejfad3mHn9i3qNrVqOzFi9ATauLWnhFHWb0Xyarc6Y3fsHKowetwkrKxt+MvXJ4eMk7BzqEIn9+607/QOPts3a2R8f/QHtHbrgFGBZNxC+85d6ejeHTuHqowaNwkr6/I6M+739cG6vA2jxk3CzqEqHd27075TV3ZtT/9WJjfbQV4V5jaZ1xroUhjre7fPNlwbNqHfu0Ows69Cv3eHUM+1EXt8tmmdZ25ILQumlvpQR33JqVKp2Ouzlb4Dh9G8lVtqxs9TM/6tc7q9Plup37AJfd8dSuUMGfdmes8ZNHwszVu55SlTZj47ttKx8zt06pLynjNm/ESsy9uwb6/295x9vrspb2PDmPGp7zldutGh0zv4ZHjP8fjkC7p270X1GjWxs3fgw8kfo0pWcfFC/j/vALSqa4jfhSSu3k0mLFrFtiOJGBmCa43sP4qqVPDkueZNY74uhpy7nszZ68mEx6jwPZ1EzFMVbzkZvnYZw/86wvWZi3m0U/f2l1GVce/xIvghVz/+jifXbhGychshq7ZT3WOUuk21Se8TceAEQd8v42ngLYK+X0bEoVNUnfR+nrJlpA/7jj58XtOH46QQGb22HQsAq1evpkSJEhw/fpzvvvuOrl270rRpUy5cuMBvv/3GihUrmDNnjrr906dP8fDw4MyZMxw8eBADAwP69OlDcnKy+vnu3bvj6OjIuXPnmDVrFtOmTXvpnF988QWenp6cPXuWEiVKMGrUKI3ng4KC2LlzJ3v27GHPnj0cPnyY+fPnq5//8ssv8fb25rfffuPKlStMnTqVoUOHcvjwYY35fPLJJ8ybN4+AgADq16/PJ598wh9//MHq1av577//qFmzJu7u7kRFRemcrnPnznz88cfUrVuXhw8f8vDhQwYOHMi2bdtYtGgRv//+Ozdu3GDnzp3Uq1fvpWuTUeijh0Qro3Bt1ET9mJFRSeq6uBIYcFnndNevXcG1YVONxxo0akpgwJUCzZeQkEDQzes0aNhE4/EGjZpwTUe+wGtXadBIs33DRk0JuhFYKKNDUjIGaq3HNR31uH7tCg0aZW7frJAzXqdBpoyujZrqXM+B167gmiWjZh0LYzsorG0yPzXQprDW9/VrV7Jka9iomc555obUMt3L1LK411GfcoapM6bPy8ioJM75yOjaqFm+6pQd9WvN9B7SoGETndtPYMCVLO9RDRs34WY2x/P4uDiSkhIpU6ZsvrNalIWypgpu3k9WP5aUDHceJeNgk/1H0ZJGMO3dknwysCTDOpagoqVC/ZyhAVSyUnDzQbLGNDfv5zxffcyYV+bNGxB+4LjGY+H7j2LW2AVFiZRhGBbNGxBx4JhGm4i/j2LRomG+l6s3+04x/rwG+nGcFCKj1/oaCzVr1uT7778HYM2aNdjb27N06VIUCgVOTk48ePCATz/9lK+//hoDAwP69eunMf2KFSuwsbHh6tWruLi4sH79epKSkli5ciWmpqbUrVuXe/fu8cEHH7xUzrlz5+LmltLz+tlnn9GtWzdevHhBqVKlAEhOTmbVqlWULZvypj5s2DAOHjzI3Llzefr0KQsXLuTQoUO0aNECgOrVq3Ps2DF+//139XwBvvnmGzp16gSkdJL89ttvrFq1infeeQcALy8v/v77b1asWMH06dO1TgdQpkwZSpQoga2trfqx4OBgbG1t6dixI0ZGRjg4ONCsWTOdrzkuLo64uDiNx+Lj4ihpbKxzmmhlSoeHubnm8DIzcwvCw3UP3YpWRmFuYaHxmLmFhXp+BeVxbAzJycmYm2dalrkF0Uql1mmUyigaammflJREbGwMlpZWrySjmbnueiiVUTR45RmTMMu0ns2zyRitjNLymixJSkricWwMFpZWhbIdFNY2mZ8aaFNY6ztaGYVZpvxmUsssiqKWxb2O+pRTqYzUmtHc3JLw8Ef5zlhQdG6TFhYodR4rlVm2t5yO52u8vbC0ssa1YeN8Zy1rkvKH9pPnmsODn7wA89IKbZMAEBGj4o+jiYQqVRgbQUtnQ8Z1N2LpzgQiY1WYGoOhgSLrfJ9DGdPXL2NeGVewJi40QuOx+LBIDIyMKGltQdyjcIxtrYkLjdRoExcaibFt+XwvV1/3neL0eQ304zhZ3L2pF1EsKq/1iIUmTdJ7+AICAmjRogUKRfqbQ6tWrXjy5An37t0DUkYGDB48mOrVq1OuXDmqVUu5MEpwcLB6Hq6urpiapr8TpP0x/zLq108/j61ixYoAhIWFqR+rWrWqulMhrU3a81evXuXFixd06tSJMmXKqG9r1qzJchpHxnoEBQWRkJBAq1at1I8ZGRnRrFkzAgICdE6ny4ABA3j+/DnVq1dn7Nix7NixI9se3Hnz5mFmZqZxW/77zxptjvzzN0P6dVHfkpJS5pdxHaZQoUD3m34KzedVKm3zKSAKbcvKrnmm9qQcBHN+TfmX5bWrVPnMWHi0RMy2kNq2Cy2tsswzL9vBq94m81oDnUsqhPWd+fWpcphnZlLLDG1eopb6Ukd9yHnkn/0M7eeuviUlJWmfVy4yal+nr+Y9hxyWlTWb9scBtm/dxNHDh/jsy9mULFky15Fcqxvw9bCS6ptBNp82s/vYHxKu4kJQMo+iVNwNVbHpn0QiY1Q0r6M5w8x/OygUOcxYTzIWCK0LzvS4tjZ5+IPsddl3ivrzmj4cJ4XIzms9YqF06fSr4mg7MKX1YqU93qNHD+zt7fHy8qJSpUokJyfj4uKivvBjYfV6ZTwnPS1L2ukXmZ9Pa5P2fNq/e/fupXLlyhrtjDN9+5+5HhmXl/HxzI9lnE4Xe3t7AgMD+fvvvzlw4AAffvghP/zwA4cPH9Z6zv2MGTPw8PDQeOxmiGYvcdO3WlErw1WoExISgJSecIsMPcMx0dFZemYzMrewzNIDGxOtxMxc9zT5UbacGQYGBlmXFaN7WRYWllm+WYqJjsbQ0JCy5coVaL6MGbMsMyY6S891xoxZ65eW0ayQMhpqrWPmbxfSmGuto1IjY0FsB69qm8xPDbQprPWtLX9stO55aiO1LJha6ksd9SFn07daU8vRWX0/UZ0xCgtLa83l5ZBR23H9lb3nREdnc6zM+o1kTIxS63vOzj82s23Ler6Z+yNVq9XIU7aA4GRCwtMvml3CMOVzRRkTBY8zfHNfplTWEQLZUQH3IlRYmxkASTyLg6RkFWVNNf9KL10q63UO9DHjy4oLjcgy8qBkeUuSExKIj4xOafMoAmNba402xjaWWUY6ZOe12XeK+POaPhwn9Y3qDb2IYlF5rUcsZOTs7MyJEyc0OgdOnDhB2bJlqVy5MpGRkQQEBPDll1/SoUMH6tSpgzLTcChnZ2cuXLjA8+fp7wSnTp16Za9BG2dnZ4yNjQkODqZmzZoaN3t7e53T1axZk5IlS3LsWPp5dQkJCZw9e5Y6dbL/SamSJUuqe6MzMjExoWfPnixZsgQ/Pz9OnjzJpUuXtM7D2NiYcuXKadwynwZhYmpKxUp26pu9Q1XMLSy5eP6sRuYrly/gWMdFZ97aTnW54H9W47EL58/gWKdutq8zr4yMjKhRszYXzmde1jmcdORzdHLmwvlzGo/5nz9LjVqOlChR8P1+KRkdtWQ8i5OOetR2qqul/ZlCzpi1jhfPn9W5nh2d6mpsFwD+mTIWxHbwqrbJ/NRAm8Ja39ry+58/o3Oe2kgtC6aW+lJHfciZOaOdjoxXc5Hxov8ZjcdSMuZ+e8uNtNfqn+U95JzO7cexTt2s7f87S81Mx/Md2zaxZeM6Zn67gJq1HfOcLT4Roh6n38KiVTx+pqJm5fSPnYYGUNXWgOCw5GzmlFVFSwWPn6V8lktKhgeRKmpW0vw4W7NSzvPVh4wvK/qUP9YdWmo8Vr5Ta2LOXUaVOqpUecof6w6tNNpYd2yN8mTuL9apr/tOcfu8pg/HSSGy88Z0LHz44YeEhIQwadIkrl27ho+PDzNnzsTDwwMDAwMsLCywsrJi2bJl3Lx5k0OHDmX5Rn3w4MEYGBgwevRorl69iq+vLz/++GMRvaIUZcuWZdq0aUydOpXVq1cTFBTE+fPn+eWXX1i9erXO6UqXLs0HH3zA9OnT2bdvH1evXmXs2LE8e/aM0aNHZ7vMqlWrcvv2bfz9/YmIiCAuLo5Vq1axYsUKLl++zK1bt1i7di0mJiZUqVKlwF6rQqGge68B/LFlPadPHCH4zi2WLpqHsbExbdw6qtst8ZzLulXL1Pe79ezPhf/OsmPrBu6F3GXH1g1c9D9H914D1G2eP3/G7aAb3A66AaRceOh20I08/+xOzz4DOLDflwP7fQkJvsvKZb8QER6Ke9ceAKxd5cVPnt+p27t37Ul4WCgrvX4hJPguB/b7cnC/L737vqtuk5CQwO2gm9wOukliYiKRkRHcDrrJwwf381bAVD36DODg/r0c3O/LveC7rFy2lIjwUDqn/hbzulXLtGb09vqFe8F3OZiasVffgZkyptQvMTGRqMgIbgfd4OGDe/nM+G5qxr3cC76D97KlRISHaWRc4jlX3b5z116pGZdyL/gOB/fv5dB+X3r2fU/dJjfbQV4V5jaZUw1yqzDWd/ee/fD/7wzbU/NvV+fP/+91Sy0Lppb6UEd9yalQKOjWawDbt6xTZ/xFnTH9ukNLPOeyftXv6vtd1RnXcz/kLju2rueS/1m6ZfOeE5rP95xefQZw4C9fDuz/k5Dgu6zI/J7j7cXiH+ep23fp2iPlPWfZr6nvOX9yYP+f9MrwnrN96ybWr/Fm4pTp2NjYooyKQhkVpfGlSn4cv5KEW31DnKsYYGOuoF+bEiQkwYWg9D+u+7ctQefG6b+U0L6BITUrK7Aom/LHet/WJahopeDfa+lfbhy/nETj2gY0rmVAeTMFXZsZYlZGs83rktGwtCnlXJ0o5+oEgGk1O8q5OlHKPuU0Wsc5Hrh6L1C3v7tsEyZVKlHnh88o41QduxH9sB/Zj1sLV6rb3Fm6ButOrag+bSylHatTfdpYrDu04M7Puj9D5kQf9h19+LymD8dJITJ6rU+FyKhy5cr4+voyffp0XF1dsbS0ZPTo0Xz55ZcAGBgYsGnTJiZPnoyLiwuOjo4sWbKEdu3aqedRpkwZdu/ezYQJE2jYsCHOzs4sWLAgy0UfX7Vvv/0WGxsb5s2bx61btzA3N6dRo0Z8/vnn2U43f/58kpOTGTZsGI8fP6ZJkyb89ddfWGQzvAqgX79+bN++nbfffpvo6Gi8vb0xNzdn/vz5eHh4kJSURL169di9ezdWVgV7MZve/QcRHx/Hsl8X8fTJE2o51uHrb3/EJMN1LyLCw1Ao0vvMnJxd8Pj0azasXcGmdSuoYFsJj09nUdspfdhe0I1AZs6Yor6/avkvALTr0IVJHjNyna912/Y8jo1ly8Y1KKOicKhSlS9nz8fGJuVCl8qoSMLD06+fUcG2Il/Onoe316/8uccHSysrRo+fRIsMP6OkjIrEY/JY9X2f7Zvx2b6ZuvVcmTN/ca6zZc24OjVjNb6YvUAjY0SGiwKlZJzPSq9f+HPPTh0ZI/hYR8Zv5/+U54yt2rbncWwMWzeuQRkViUOVanyeJaNmHb+YvQBvr6XsS804avxkjYy52Q7yo7C2yZxqkFuFsb7T8m9cu4JN61ZSwbYSH386U2pZTGpZ3OuoTzl79x9MfHwcXr8uVGf86lvPTBlDMchwCqGTcz2mfjqTjWuXszk141Qt7zmzZvyf+v7q5UuBlPeciR7Zv3dn1NrtbWIfx7J5Q+p7TtWqfDV7HjYVUl5rlDIqy3vOV9/MY+WyX/BNfc8ZM34iLVun/9Tyn3t9SExM4PvvZmksa+Dg4QwaOiLX2TI7eikJoxLQs0UJSpWEe+EqvPclEJ/hckxmpRUap/aXKgm9WxlR1gRexMPDSBVeexO4F5He6NLtZEyNE3m7QQnKmkKoUsWa/QlEP339Mpo1dqHFwbXq+84/pmwrIWu2c3H0DIwrlscktZMB4Pmde5zpMQ5nzxlU+WAIcQ/CuDJ1Lo927Fe3UZ48z/khHjjOnoLj7Mk8Cwrh/OCpRP97MW/hMin2+44efF4D/ThOFmdyKsSrpVDJ5TJFMXH5pu4rBRcnBhTu0MWCoCrUyyoWDH3IqC8Ur+QKYC9HX9a31PLNog+1LKEonJ+yK0jrDlvn3EjkSsvx9XNuVMQcAo4UdYRcMSTvo1ZetWQ9GDzuUlN/OxtGzQ7LuVEhWTnTpsiWXVTemBELQgghhBBCCCHeDMny/fkrVfy7yfTIhAkTNH7yMeNtwoQJRR1PCCGEEEIIIYQocDJioQB98803TJs2Tetz5QrhpwOFEEIIIYQQQmQl11h4taRjoQDZ2NhgY/PmnU8jhBBCCCGEEOLNJadCCCGEEEIIIYQQIt9kxIIQQgghhBBCiNeK/PjhqyUjFoQQQgghhBBCCJFvMmJBCCGEEEIIIcRrJVku3vhKyYgFIYQQQgghhBBC5Jt0LAghhBBCCCGEECLf5FQIIYQQQgghhBCvFZWcCvFKyYgFIYQQQgghhBBC5JuMWBBCCCGEEEII8VqRn5t8tWTEghBCCCGEEEIIIfJNRiwIIYQQQgghhHitqJKTizrCG0U6FkSxkazSjwE0CkXxH1aVrAeDkQzQj4O9CkVRR8iRPmRUUPz3G32hD+vbkKSijpAriari/zFIH47nQ90iijpCrujD+ibgSFEnyFFwnbZFHSFX/vjyaFFHyFFSUvH/LLT6m6JOIPRF8X+3EkIIIYQQQgghRLGlB123QgghhBBCCCFE7iXLz02+UjJiQQghhBBCCCGEEPkmIxaEEEIIIYQQQrxW5OcmXy0ZsSCEEEIIIYQQQoh8k44FIYQQQgghhBBC5JucCiGEEEIIIYQQ4rWikos3vlIyYkEIIYQQQgghhBD5JiMWhBBCCCGEEEK8VmTEwqslIxaEEEIIIYQQQgiRb9KxIIQQQgghhBBCiHyTUyGEEEIIIYQQQrxWklXJRR3hjSIjFoQQQgghhBBCCJFv0rGQB6tWrcLc3DxP0/j5+aFQKIiOji6UTEIIIYQQQgghNKmSVUV2exPJqRCvmVWrVjFy5EicnJwICAjQeG7Lli0MHDiQKlWqcOfOnZdaTrt27Th8+HCWxxMSEihRovA2K5VKxdYN3hz4axdPnjymVm1nxnzggX2VatlOd+q4H5vWLSf04QMqVKzEoGHjeKtlW/XzVy/7s+uPjdwKCkQZFcn0L+bSrEXbbOao2597duKzfRPKqEjsHaoxatxEnF3q62x/5ZI/3l6/EhJ8G0tLa3r3fw/3rr002pw8fpiNa1fy6OEDbCtWYvDwMTRv2SZf+SCljls2eHNg326ePnlMTUdnxn4wNXd1XLtCnWPQ8LFZ6ujzxyZu3Uyp4ydfzqVZi/zl1Ic6QlotV/F3ai1rOToz5oMpOORQy5PHD2vUcvDwMRq1BNi3Z0dqDaKwd6jKyHETcXZxLTYZr1y+gM8fG7l183rq+p7DW6/5+taHnPqyf+/cvjm1jlUZnUMdL6vreEddxy5de6qfD757m43rvAm6eZ3wsFBGjf2IHr375ytbRoX1nrNjy1pOnzzC/Xt3KVnSGMc6LgwZ8QGV7RzynLGgt8ngu7fZtM6boJuBhIeFMnLsR/ToPSDPuTLy3ePDzj9S13eVqowe9xF1s13fF1jp9Sshd+9gaWVNn34D6dItfX3v37eHfw7+TfDd2wDUqFmboe+PprZjnZfKqQ/7TnHPaNm6CdU/Ho1ZIxdKVbLhbL8PCd11MPtp2jTF+cfPKONci7gHYQR5Lid42SaNNrZ9OlN71v9hWsOBZ0HBBH69iFCfA3nOl1kvt9K4NS6FaSkDbt1PYJ3vYx6EJ2U7jYmxgn4dStPIyZjSJgaEK5PYvP8Jl27GA9CuiQlvNzHB2jzl+9v7YUnsPvJU/Xxe9X67DO0am1DaxICgewms3RPL/fDEbKcxLaWgX4cyNHFOeW0R0Uls3BfLxRvx6nn2ebuMxjTRj5P4vx/C85VRCJARC6+l0qVLExYWxsmTJzUeX7lyJQ4Oef/QosvYsWN5+PChxk1bp0J8fP4OpNr4/LGBPTs3M3rCVOYv9MLcwpJvv5rK82fPdE4TGHCZRQtm4fa2Oz/+7I3b2+4sWvA1NwKvqNvEvXhBleo1GT1h6kvlO3bkEN5eS+k3cCieS5ZTx6Uec2Z+QnhYqNb2oY8eMmfmZ9RxqYfnkuX0HTiEFb//zMnj6Z02gQFX8Jw/G7f2nVm4dDlu7TvjOX8W169dzXfOnds2sGfHFkZPmML8Rcswt7Dkmy89cqzjwvmzadveHc+lK2nb3p2F82dq5Hjx4gVVq9Vg9IQp+c4G+lNHgJ3bNrJ7xxbGTJjCgkW/p9by41zV0q19ZzyXrtCa5bi6BsP4cYkXdVzqM3fmpzprUBQZ4148p2q1mox5Q9a3vuTUh/17pdcv9B84FM8lXji71OfbbLbtlDrOwNmlPp5LvOinpY5xcXFUsK3EsBHjsLCwfKl8GRXWe86Vy/64d+vDdz/+zlffLiIpKYk5X3nw4sXzPOUrjG0ypZYVGTZiHOYFUMtjh/9h5bJfGDBwCAt/XoZz3Xp8+/Vn2Wb89usZONetx8Kfl9H/3cEs/30pJ44dUbe5fPECbdza8+28hSzwXEr58jbM+vITIiNe7o+i4r7v6ENGw9KmxF4M5Mr/fZOr9iZV7Wi6exlRx85xrGlvbi74H3UXfYFtn87qNubNG9BwwyLur/fhaONe3F/vQ6ONizFvprtzKjfeaWVK5xYmrPN9wrdeUcQ8SWbaMHNKlVTofn0GMG2YOVZmhvy6NZbPl0ayevdjoh+nn8uvjE1i24EnfLNMyTfLlFy7E8+k98yoVN4wzxm7ti5NlxamrN0by6zfI4l5ksT09y2yz2gI09+3xNrCkKWbo/lsSTgrfWJQxmpeb+BeaAKTvw9T3778JSLP+Yo7GbHwaul1x8Lu3bsxNzcnOTllR/H390ehUDB9+nR1m/HjxzNo0CAATpw4Qdu2bTExMcHe3p7Jkyfz9OlTddv4+Hg++eQTKleuTOnSpXnrrbfw8/PTufzIyEiaNWtGz549efHiBQC+vr7Url0bExMT3n777SwjAyIjIxk0aBB2dnaYmppSr149Nm7cqH5+zZo1WFlZERcXpzFdv379GD58eK7qUqJECQYPHszKlSvVj927dw8/Pz8GDx6cpf1vv/1GjRo1KFmyJI6OjqxduzZXyzE1NcXW1lbjBlC1alXmzJnDiBEjMDMzY+zYsbmaX05UKhV7fbbQd+Bw3mrphkPV6kz0+IK4uDiOHf5b53R7d22lfsMm9Hl3GJXtq9Dn3WG4uDZmr89WdZuGTZozaNhY3mrp9lIZd+/YSofOXenk3h07hyqMHjcJK2sb/vL10dr+L99dWJe3YfS4Sdg5VKGTe3fad3oHn+2b0+fpsw3Xhk3o9+4Q7Oyr0O/dIdRzbcQen235yphSx630HTiM5q1S6jjJ43Pi4uI4ml0dfVLq2PfdoVS2r0Lfd4dSL1MdGzVpzqDhY2ne6vWvI6TUco/PVvoNHEbzVm1TazkjtZa6v0nZ47MN14aN6fvuUOwy1HJPhlru3rGF9p270tG9O3YOVRk1bhJW1uV11qAoMjZq0jzl2/VW+Rvdk0Zf1rc+5NSH/XuXuo7dsHeowuhxE7GytmGf7y6t7dPrOBF7hyp0cu9G+07vsHP7FnWbWrWdGDF6Am3c2lPCyOil8qUpzPecL7/x5O2OXbGvUo2q1Wvy4ZQZRISHcutmYJ4yFsY2Wau2E++P/oDWbh0wKoBa+uzYSsfO79CpS8r6HjN+Itblbdi3V/v63ue7m/I2NowZn7q+u3SjQ6d38Mmwvj0++YKu3XtRvUZN7Owd+HDyx6iSVVy8cD7fOfVh39GHjOF/HeH6zMU82qk7T0ZVxr3Hi+CHXP34O55cu0XIym2ErNpOdY9R6jbVJr1PxIETBH2/jKeBtwj6fhkRh05RddL7L5W101sm7Dn6jP+uxXE/PIkVO2MpaaTgrXrGOqdp07AUpU0MWLo5hpshCUTGJHMjJIGQ0PQRBBeux3PpZjyhUUmERiWx/dBTXsSrqGGX9/3JvYUpu4485VxAHPfDEvHaHkNJIwXN65fSOU3bhiaUMVGwZEM0N4JTMwZrZgRISoaYJ8nq2+Nnb+Yfw/pGqVQybNgwzMzMMDMzY9iwYTmecq9QKLTefvjhB3Wbdu3aZXn+vffey1M2ve5YaNu2LY8fP+b8+ZQ3ksOHD2Ntba0xRN/Pzw83NzcuXbqEu7s7ffv25eLFi2zevJljx44xceJEdduRI0dy/PhxNm3axMWLFxkwYABdunThxo0bWZZ979492rRpg5OTE9u3b6dUqVKEhITQt29funbtir+/P2PGjOGzzz7TmO7Fixc0btyYPXv2cPnyZcaNG8ewYcM4ffo0AAMGDCApKYldu9LfcCMiItizZw8jR47MdW1Gjx7N5s2beZbag71q1Sq6dOlChQoVNNrt2LGD//u//+Pjjz/m8uXLjB8/npEjR/LPP//kelna/PDDD7i4uHDu3Dm++uqrl5pXmrDQh0Qro3Bt2FT9mJFRSZxdGhAYcFnndNevXdaYBqBBo2bZTpMfCQkJBN0M1LKsplwLuKJ1muvXrtCgUdZsQTcCSUxMTG+TaZ4NGzXTOc+chD1KrWOjzHV0zaGOV7K8Ntc3uI6Q8s1aSi2bqB8zMipJ3XzUskGjpgSmZkmpwfUseV0bNc1zvQsrY0HRl/WtLzn1Y/++ToOGTTQeb9CoCdd0LCvw2lUaNNJs37BRU406FoZX+Z7zLPVLjjJlyuU6X2FtkwVJvb4zrb8GDZvozBgYcCXL9tGwcRNuZpMxPi6OpKREypQpm++sxX3f0ZeMeWXevAHhB45rPBa+/yhmjV1QpI6CtWjegIgDxzTaRPx9FIsWDfO93PLmBpiXNeRKUPqo2sQkCLyTQM1sOgAaOBoTdC+BoV3Lsuhja775wJJurU1R6BhAoFBAs7rGGBspCApJyFtGC0PMyxpy+Wb6l40pGeOpZV9S53QNnUpxMySB4d3LseST8sz9yIrubUtnyWhrZcjiaeX5cao1Hwwwo7xF3kdUiFdv8ODB+Pv7s2/fPvbt24e/vz/Dhg3LdprMI8xXrlyJQqGgX79+Gu0yj0b//fff85RNrzsWzMzMaNCggXpUgZ+fH1OnTuXChQs8fvyYR48ecf36ddq1a8cPP/zA4MGDmTJlCrVq1aJly5YsWbKENWvW8OLFC4KCgti4cSNbt26lTZs21KhRg2nTptG6dWu8vb01lnv9+nVatWpFx44dWb16tXr4/2+//Ub16tVZtGgRjo6ODBkyhBEjRmhMW7lyZaZNm0aDBg2oXr06kyZNwt3dna1bU3qNTUxMGDx4sMYy169fj52dHe3atct1bRo0aECNGjXYtm0bKpWKVatWMWrUqCztfvzxR0aMGMGHH35I7dq18fDwoG/fvvz44485LuPXX3+lTJky6tvHH3+sfq59+/ZMmzaNmjVrUrNmzSzTxsXFERsbq3GLj4/L0i6jaGUkAGbmmkMzzcwt1M9pny5KyzSWRCujcnyNefE4Nobk5GTMzS205NO+LKUyCrNM7c3NLUhKSiI2NgZIzW+RaZ4WuueZE2Vqrcwz1cQ8h5pEK6Mwz5TD/CVy6KIvdUybZ8qysm6TypeoZUoNkrJst+bZ1OBVZywo+rK+9SWnvu7fKdu2Uus0SmWU1vYZ61gYXtV7jkqlYvXypTg518ehavVc5yusbbIg6cxoofv4E61UZtkncsq4xtsLSytrXBs2znfW4r7v6EvGvDKuYE1cqOYQ/PiwSAyMjChpnZLZ2NaauFDNfS4uNBJj2/L5Xm65Mil/AsU+0Tw9IPZpMmZldP95VN7CkCbOxhgYwOIN0ew58hT3FqZ0b2Oq0a6yjSG/zrBm2ZflGd69LEs3x/AgIvtrN2SWliP2qZaMZXPKWAqFAhauVbLr8FPeaVmanm6l1W1u3Ytn2fYYflyjZKVPLGZlDPlyjCWlTXSfYqGPVCpVkd0KQ0BAAPv27WP58uW0aNGCFi1a4OXlxZ49ewgM1D3iLfMIcx8fH95++22qV9d8z8k8Gt3MzCxP+fS6YwFShm34+fmhUqk4evQovXr1wsXFhWPHjvHPP/9QoUIFnJycOHfuHKtWrdL4Q9jd3Z3k5GRu377Nf//9h0qlonbt2hptDh8+TFBQkHp5z58/p3Xr1vTu3ZslS5agyND9FxAQQPPmzTUea9GihUbepKQk5s6dS/369bGysqJMmTLs37+f4OBgdZuxY8eyf/9+7t+/D4C3tzcjRozQmG9ujBo1Cm9vbw4fPsyTJ0/o2rVrljYBAQG0atVK47FWrVqpL/y4fv16jXocPXpU3W7IkCH4+/urbzNmzFA/16SJ5rcNmc2bN089hCfttuJ/SzTaHP1nP0P7d1bf0r6pyFIGlUrLg5qy1E6lynM9c0v7snLfXkXKwSjjowoytclhnhkd+Wc/Q/u5q29JSUmpy80UE1WW5WTJqjXHm1FHgCP//M2Qfl3Ut6SktG0yy0aZYy3JkiXrfLSUIMdt/VVnLCjFcX3nZrlFnVNf9+/MAXM6jOuuY8HlK6r3nBX/W0TwnSCmfDIzX7kLY5sscHl8D866LWp/HGD71k0cPXyIz76cTcmSur/FzUwf9h19yFggMv8RlpYr4+Pa2uThj7fm9Yz5dYa1+mZomLKMLHNQaHks02Jjnyazavdj7j5M5N8rcew5+pS3m5hotHsUkcSs/ymZu1zJP2efM6Z3OSpZZz8ioEX9Uvz+hY36ZpjaXNvLzO6lGyjg8dNkvHfFcudhIqcvv2DXkSe0b5re+XHxRjxnr8ZxLyyRq7fiWbgupWO3dUMTXbMVeaTtS9TMp7rn1cmTJzEzM+Ott95SP9a8eXPMzMw4ceJEruYRGhrK3r17GT16dJbn1q9fj7W1NXXr1mXatGk8fvw4T/n0/lch2rVrx4oVK7hw4QIGBgY4Ozvj5ubG4cOHUSqVuLmlnCuWnJzM+PHjmTx5cpZ5ODg4cPHiRQwNDTl37hyGhpo7fpky6VdNNTY2pmPHjuzdu5fp06djZ2enfi43vVOenp4sWrSIxYsXU69ePUqXLs2UKVM0LnDYsGFDXF1dWbNmDe7u7ly6dIndu3fnuTZDhgzhk08+YdasWQwfPlznrzVk+ZCR4c2mZ8+eGhtv5cqV1f83MzPTOhoBUi4gmZ0ZM2bg4eGh8dj1EM1vIpq81Zqajs7q+4kJKUPIopVRWFhaqx+PiYnO0nufkbmFZZZvl2JilFm+tXlZZcuZYWBgkOVbmJiY6CzfXqWxsMj6LUNMdDSGhoaULZfSS2iupU1stO55Ztb0rdbU0lJHZeY6Rmf9ligjcwvLrK8tOvqNqSNA07daUSvDVccT1LWMxMLSSmPZmb8dykhblpjo9G0ypQaGWdvEKLN881dUGQtKcV7f+pBTX/dvbdu2rmVZ6MiWUsfcnzqQk6J4z1nxv0WcPX2c2fN/xsraJk95C2ubLEg613d0tM5jmbZv0mNilFrX984/NrNty3q+mfsjVavVyFM2fdh39CHjy4oLjcgy8qBkeUuSExKIj4xOafMoAmNba402xjaWWUY6ZMc/MJ5b99JHRaV9JDYrY0BMhlEL5UwNsoxiyCjmcTJJyZp/2D+MSMK8rCGGBinXLYCUf8OUKR1Bdx4mUq2SER2bm7Jmj+4/1M5fiyPoXvqxwyi18yNLxtLZZ4x+kkxSkkozY3hiSkZDSNIycCI+QcW9sERsLfX+T0MNadfhKwrz5s1j9uzZGo/NnDmTWbNm5Xuejx49wsYm63uFjY0Njx49ytU8Vq9eTdmyZenbt6/G40OGDKFatWrY2tpy+fJlZsyYwYULF/j779xdLwVegxELaddZWLx4MW5ubigUCtzc3PDz81NfXwGgUaNGXLlyRT00P+OtZMmSNGzYkKSkJMLCwrI8n3ZRQgADAwPWrl1L48aNad++PQ8ePFA/5+zszKlTpzTyZb6fNqpi6NChuLq6Ur16da3XcBgzZgze3t6sXLmSjh07Ym9vn+faWFpa0rNnTw4fPqz1NAiAOnXqcOyY5nlrJ06coE6dlD9MypYtq1ELE5OC6ck0NjamXLlyGreSJTUvlmNiakrFSnbqm51DVcwtLLl4/oy6TUJCAlcv++NYx0Xnsmo7uXDx/FmNxy6cP5PtNPlhZGREjZqOXMiyrLM41amrI1tdLe3PUKOWo7ojqLZTXS74a7bxP39G5zwz013H9Hmm1PFCDnWsy0X/MxqPvUl1hKy1tNdRyyu5qGXmLCm1TMmSUoPaWV7TxfNnc6z3q8pYUIrz+taHnPq5f2fdti+cP4eTjmU5Ojlz4fw5jcf8z5/VqGNBeJXvOSqViuW/LeL0iSPMnLuYCraV8py3sLbJgpS2vv2zrL9zOjM61qmbtf1/Z6mZKeOObZvYsnEdM79dQM3ajnnOpg/7jj5kfFnRp/yx7tBS47HynVoTc+4yqtRRQ8pT/lh30Bxda92xNcqTub9Y54t4FWHKJPXtQXgS0Y+TcK6ePsrF0AAcqxpx857uayHcCEnAxtJQY/xHBStDoh8nqTsVdCmRwyUMXsSrCItKUt/uhycS/TgJl5rpn48NDcGxakluhOj+xbUbwfHYWJbQGNlSwaoEytgkrZ0KadkqWZcg+kneTtcQus2YMYOYmBiNW8bR3RnNmjVL5wUW025nz6bs99pGGuVlBNLKlSsZMmQIpUppXgB07NixdOzYERcXF9577z22bdvGgQMH+O+//3L9mvW+YyHtOgvr1q1TX4Ogbdu2/Pfff+rrKwB8+umnnDx5ko8++gh/f39u3LjBrl27mDRpEgC1a9dmyJAhDB8+nO3bt3P79m3OnDnDggUL8PX11VimoaEh69evx9XVlfbt26t7iCZMmEBQUBAeHh4EBgayYcMGVq1apTFtzZo1+fvvvzlx4gQBAQGMHz9eaw/TkCFDuH//Pl5eXjo7BXJj1apVRERE4OTkpPX56dOns2rVKv73v/9x48YNFi5cyPbt25k2bVq+l1lYFAoF3Xq9y/at6zh94gjBd27xy+LvMDY2prVbJ3W7nz3nsH7V/9T3u/Xsz4XzZ9i5bT33Q+6yc9t6LvmfpVuv9N/lfv78Gbdv3eD2rZROnrDQh9y+dSPPP+3Xo88ADu7fy8H9vtwLvsvKZUuJCA+lc+rvra9btYyfPL9Tt3fv2pPwsFC8vX7hXvBdDu735eB+X3r1Hahu071nP/z/O8P2rRu4F3KX7Vs3cNH/HN175e832lPqOIDtWzLUcdE8jI2NaZOhjks857J+VfpFW7r27M+F/86yY2tKHXds1VHHoBvcDkqpY+ijh9wOej3rCCm17N5rAH9sWa+u5VJ1LTuq2y3xnMu6VcvU97upa5mSZYc6S3ote/R5N7UGe7kXfAfvZUuJCA9T16A4ZMy8vsNe8/WtDzn1Yf/u2WcAB/b7cmC/LyHBd1m57BciwkNx79oDgLWrvLTWcaXXL4QE3+VAah17931X3SYhIYHbQTe5HXSTxMREIiMjuB10k4cP7uetgBkU5nvO8t8WctRvP/83/WtKmZqiVEaiVEbmeZhsYWyTKbVMWc+JiYlERUZwO+gGDx/cy3MNAXr1GcCBv3w5sP9PQoLvsiLz+vb2YvGP89Ttu3TtkbK+l/2aur7/5MD+P+mVYX1v37qJ9Wu8mThlOjY2tiijolBGRfH8ed5+rjMjfdh39CGjYWlTyrk6Uc415XOnaTU7yrk6Ucq+IgCOczxw9V6gbn932SZMqlSizg+fUcapOnYj+mE/sh+3Fqb/stmdpWuw7tSK6tPGUtqxOtWnjcW6Qwvu/Lw6T9ky+/v0c7q3MaWRU0kqlzdkdO9yxCeoOH0pfT8c07ss/Tqkj8L95+xzypgoGPROGSpYGlK/Vkm6tS7NoTPp217f9qWp5WCElZkBlW0M6du+NE5VjTh16UWeM/518hnd25SmcR1jKtuUYGwfM+ITVJy6mD6vcX3NGNAxfXT1oX+fUcZUwZB3ylLByhDX2sb0aFuag/+m/yTpe+5lcaxqhLW5IdXtjJj4njkmxgqOnc//PiQ0afsS1dhY+y+OTJw4kYCAgGxvLi4u2NraEhqadZ8MDw/PcoF+bY4ePUpgYCBjxozJsW2jRo0wMjLS+gW4Lq/FeJe3336b//77T92JYGFhgbOzMw8ePFB/816/fn0OHz7MF198QZs2bVCpVNSoUYOBA9PfTL29vZkzZw4ff/wx9+/fx8rKihYtWmi9NkGJEiXYuHEjAwcOpH379vj5+eHg4MAff/zB1KlT+fXXX2nWrBnfffedRsfAV199xe3bt3F3d8fU1JRx48bRu3dvYmI0TwMoV64c/fr1Y+/evfTu3TvftTExMcl2lEHv3r356aef+OGHH5g8eTLVqlXD29s7TxeKfJV69RtMfFwcy3/z5OmTJ9R0rMOX3yzExDT9vLGI8FAUBum9do516jHlk5lsWrecTeuWY2tbmamfzqaWY/q3JbduBDLr8/TTZFYvXwqAW4cuTJz6Ra7ztW7bnsexsWzZuBplVBQOVarxxewF2NikjHpRRkUSEZ5+QKhgW5EvZ89npdcv/LlnJ5ZWVoweP4kWGX7uycnZBY9Pv2bj2hVsWreSCraV+PjTmdR2cs6y/Nzq3X8w8fFxeP26kKdPnlDLsQ5ffeuZpY4GGXo/nZzrMfXTmWxcu5zN61ZQwbYSUz+dpZEj6EYgs2b8n/p+Wh3bdejCRI/Pc51PX+oI0Lv/IOLj41j26yJ1Lb/+9sdMtQxDoUjvx03LsmHtCjal1tIjUy1btW3P49gYtm5cgzIqEocq1fg8Qw2KQ8agG4HMnDFFfX/V8l+AlPU9yUN7r7w2+rK+9SWn/uzfa1LrWJUvZ8/XqGN4eJi6fUod5+Ht9St/7vHRWkdlVCQek9N/2thn+2Z8tm+mbj1X5sxfnOtsmRXWe85+350AzJqheXrmh1Nm8HbHrJ85dCmMbVIZFcHHOmr57fyfcp1NndHtbWIfx7J5Q+r6rlqVr2bPw6ZCSsYoZVSW9f3VN/NYuewXfFPX95jxE2nZOv1nbf/c60NiYgLffzdLY1kDBw9n0NARec6YprjvO/qQ0ayxCy0Opv9sufOPKdOGrNnOxdEzMK5YHpPUTgaA53fucabHOJw9Z1DlgyHEPQjjytS5PNqxX91GefI854d44Dh7Co6zJ/MsKITzg6cS/e/FXOfS5s/jzyhZQsHQrmUpbWLArXsJeK6N5kV8+jkElmaGJGc4pUAZm4znumjecy/LNx+YoIxN5sDpZ/geT/+j3ayMAWP7lMOsjAHP41TcC01k4fport7K269CAPgee0pJIwXDu5fDtJQBt+4n8MMaZbYZo2KT+WGNksFdyjLnQ2uiHyex/9Qz9h59qm5jUc6AD/qbU9bUgMfPkrkZksA3XpFExhTdqQOFQZWc++twFCVra2usra1zbNeiRQtiYmL4999/adasGQCnT58mJiaGli1b5jA1rFixgsaNG+Pq6ppj2ytXrpCQkEDFihVzbJtGoSqsy1aKl9apUyfq1KnDkiVLcm78Grh4IyznRsWAoaL4DxNL1oPBSAbox5uXqnAvafbGUGR7OSyRF/qwfxtS/I+TAImq4v/9ij685xgo9ON4rg/rWx8E12mbc6Ni4I8vj+bcqIgl5XT+RDGw+pu8f6FRXHQfe7XIlr3H6+W+uNLlnXfe4cGDB+qfghw3bhxVqlTRuB6fk5MT8+bNo0+fPurHYmNjqVixIp6enkyYMEFjnkFBQaxfv56uXbtibW3N1atX+fjjjzExMeHMmTNZrj+oixxhi6GoqCj279/PoUOHWLp0aVHHEUIIIYQQQgi9olIV/46bvFq/fj2TJ0+mc+fOQMqF9jP/vRgYGJhlNPymTZtQqVQMGjQoyzxLlizJwYMH+emnn3jy5An29vZ069aNmTNn5rpTAaRjoVhq1KgRSqWSBQsW4OioeUGiunXrcvfuXa3T/f777wwZMuRVRBRCCCGEEEII8QpZWlqybt26bNtoOyFh3LhxjBs3Tmt7e3t7Dh8+/NLZpGOhGLpz547O53x9fdU/H5dZbi7aIYQQQgghhBCvO325xsLrQjoW9EyVKlWKOoIQQgghhBBCCKFW/K8AJYQQQgghhBBCiGJLRiwIIYQQQgghhHityKkQr5aMWBBCCCGEEEIIIUS+yYgFIYQQQgghhBCvleTX8OcmizMZsSCEEEIIIYQQQoh8k44FIYQQQgghhBBC5JucCiGEEEIIIYQQ4rUiF298tWTEghBCCCGEEEIIIfJNRiwIIYQQQgghhHitqJLl4o2vkoxYEEIIIYQQQgghRL7JiAUhhBBCCCGEEK8VucbCqyUdC6LYKKFILOoIuaJCUdQRcmRA8R/6laQyLOoIuaIP26U+bJP6Qh9qqRf7N7J/F5REVfH/qJagBxkBjPRgfSso/n8I/fHl0aKOkCv95rQp6gg5Mvj3clFHEKLAyKkQQgghhBBCCCGEyDf96GIWQgghhBBCCCFySaUq/iP8XicyYkEIIYQQQgghhBD5JiMWhBBCCCGEEEK8VpLl4o2vlIxYEEIIIYQQQgghRL5Jx4IQQgghhBBCCCHyTU6FEEIIIYQQQgjxWlEly8UbXyUZsSCEEEIIIYQQQoh8kxELQgghhBBCCCFeKyq5eOMrJSMWhBBCCCGEEEIIkW8yYkEIIYQQQgghxGtFpZJrLLxKMmJBCCGEEEIIIYQQ+SYdC0IIIYQQQgghhMg36VgoYqtWrcLc3DxP0/j5+aFQKIiOji6UTEIIIYQQQgihz1TJqiK7vYnkGgsiR0lJSXz//fesXr2au3fvYmJiQu3atRk/fjwjR458ZTn+3LOTnds3o4yKxN6hKqPHTcTZpb7O9pcv+ePt9SshwXewtLSmd//36NK1p/r54Lu32bjOm6Cb1wkPC2XU2I/o0bt/geT02b4pNWc1RuWQ84o65211TveuvTRyblrnTdDNQMLDQhk59iN69B7w2mcEUKlUbN3gzYG/dvHkyWNq1XZmzAce2Feplu10p477sWndckIfPqBCxUoMGjaOt1q2VT+/Y8taTp88wv17dylZ0hjHOi4MGfEBle0c8pxRH7ZLfVjfBZ0R4OTxw2xcu5JHDx9gW7ESg4ePoXnLNi+VU6VSsWXDKv7et5unTx5Ty9GZMR9MwSGHbfLk8cNsWrtCI0vGbfLK5Qv4/LGRWzevo4yK5JMv5/BWi/xl1a9aenMgtZY1HZ0Z+8HU3O3fGWo5aPhYjVpeveyPzx+buHUzMLWWc2n2ErUs7vu3Phwn03Ju27CSgxlyjvrAA/sq1bOd7vRxPzavW07ow/tUqFiZ94aNpVlLN42c/548zIPUnLXr1GPIiA+olM/juT4cK4v7Npmml1tp3BqXwrSUAbfuJ7DO9zEPwpOyncbEWEG/DqVp5GRMaRMDwpVJbN7/hEs34wFo18SEt5uYYG2e8t3o/bAkdh95qn4+NyxbN6H6x6Mxa+RCqUo2nO33IaG7DmY/TZumOP/4GWWcaxH3IIwgz+UEL9uk0ca2T2dqz/o/TGs48CwomMCvFxHqcyDXubRRqVTs2/YrJw9t4/mTWBxq1qP/qC+paF9T5zQPQ27y59alhNy6ijLiAb2Hf0q7rsM02iQlJbJv26+cO7aXx9ERlLMoT1O3XnTuMx4DA/neWeSPbDkiR7NmzWLx4sV8++23XL16lX/++YexY8eiVCpfWYZjRw6x0usX+g8ciucSL5xd6vPtzE8JDwvV2j700UPmzJyBs0t9PJd40W/gEFb8/jMnjx9Wt4mLi6OCbSWGjRiHhYVlgeX09lpKv4FD8VyynDou9Zgz85Mccn5GHZd6eC5ZTl+dOSsybMQ4zAsgpz5kTOPzxwb27NzM6AlTmb/QC3MLS779airPnz3TOU1gwGUWLZiF29vu/PizN25vu7NowdfcCLyibnPlsj/u3frw3Y+/89W3i0hKSmLOVx68ePE8T/n0YbvUh/VdGBkDA67gOX82bu07s3Dpctzad8Zz/iyuX7v6Ull3btvI7h1bGDNhCgsW/Y65hSXffPlxjtvkwtQsnktXaM0S9+I5VavVZMyEKS+VT79quYE9O7YwesIU5i9allpLj1zVsm17dzyXrqRte3cWzp+pkeXFixdUrVaD0QVQy+K+f0PxP06m2fXHevbu3MzICR58t3A5ZhZWzM0h5/WAyyxeMJM2b7vz/c+raPO2O4sz5Qy4fB73bn2Z8+PvfPHtIpKTkpj71dR8Hc/14VipD9skwDutTOncwoR1vk/41iuKmCfJTBtmTqmSCp3TGBrAtGHmWJkZ8uvWWD5fGsnq3Y+Jfpx+AT5lbBLbDjzhm2VKvlmm5NqdeCa9Z0al8oa5zmZY2pTYi4Fc+b9vctXepKodTXcvI+rYOY417c3NBf+j7qIvsO3TWd3GvHkDGm5YxP31Phxt3Iv7631otHEx5s10d/rkxsFdK/HzXUO/kZ/j8d0myplb89t3Y3nx/KnOaRLin2NlY0ePwVMoZ26tY74rOHFgC/1Gfs5nnrvoMdiDf3Z7c3Tf+pfKW9yokpOL7PYmko6FTHbv3o25uTnJqRuEv78/CoWC6dOnq9uMHz+eQYMGAXDixAnatm2LiYkJ9vb2TJ48madP03f2+Ph4PvnkEypXrkzp0qV566238PPz07n8yMhImjVrRs+ePXnx4gUAvr6+1K5dGxMTE95++23u3LmTZZpBgwZhZ2eHqakp9erVY+PGjern16xZg5WVFXFxcRrT9evXj+HDh+eqJh9++CEDBgygWrVquLq6Mnr0aDw8PNRt9u3bR+vWrTE3N8fKyoru3bsTFBSU47xza9eOrXTo3JVO7t2wd6jC6HETsbK2YZ/vLq3t//LdhXV5G0aPm4i9QxU6uXejfad32Ll9i7pNrdpOjBg9gTZu7SlhZFQgOXerc3bHzqEKo8dNwsrahr98fXLIOQk7hyp0cu9O+07v4LN9s0bO90d/QGu3DhgVQE59yAgpvfR7fbbQd+Bw3mrphkPV6kz0+IK4uDiOHf5b53R7d22lfsMm9Hl3GJXtq9Dn3WG4uDZmr89WdZsvv/Hk7Y5dsa9SjarVa/LhlBlEhIdy62ZgnjLqw3apD+u7MDLu9tmGa8Mm9Ht3CHb2Vej37hDquTZij8+2fOdUqVTs8dlKv4HDaN6qLQ5VqzPJYwZxcXEcPaz7W6k9PttwbdiYvu8Oxc6+Cn3fHUo918bsybBNNmrSPGUUQKu2OueTG/pUy70+W+k7cBjNW7ml1vLz1Fpms3/7pOzffd8dSuUMtdybqZaDho+leSs3nfPJDX3Yv/XhOJmW09dnK30y5PxInXO/zul8d23RmtPXJ72mn3+zkHYdu2JfpTpVq9fig3zm1IdjpT5sk2k6vWXCnqPP+O9aHPfDk1ixM5aSRgreqmesc5o2DUtR2sSApZtjuBmSQGRMMjdCEggJTVS3uXA9nks34wmNSiI0Konth57yIl5FDbvcZw//6wjXZy7m0U7d+0hGVca9x4vgh1z9+DueXLtFyMpthKzaTnWPUeo21Sa9T8SBEwR9v4yngbcI+n4ZEYdOUXXS+7nOlZlKpeLIn2vp1Hscrs06UdG+FkM+/I74uBecO75X53QONerRa+g0GrXsimGJklrb3Ll+AZfGb1O3kRtWNpVp0LwzjvVbEnLritb2QuSGdCxk0rZtWx4/fsz58+cBOHz4MNbW1hw+nN676+fnh5ubG5cuXcLd3Z2+ffty8eJFNm/ezLFjx5g4caK67ciRIzl+/DibNm3i4sWLDBgwgC5dunDjxo0sy7537x5t2rTBycmJ7du3U6pUKUJCQujbty9du3bF39+fMWPG8Nlnn2lM9+LFCxo3bsyePXu4fPky48aNY9iwYZw+fRqAAQMGkJSUxK5d6W88ERER7NmzJ1enMtja2nLo0CHCw8N1tnn69CkeHh6cOXOGgwcPYmBgQJ8+fdQdNC8jISGBoJvXadCwicbjDRo14VrAZa3TBF67SoNGmu0bNmpK0I1AEhMTtU5TMDkDcW3YNFPOplwL0H6gvn7tCg0aZW7frNBy6kPGNGGhD4lWRmlkNTIqibNLA/ByKFIAAK8USURBVAJ1rPeUvJe1vL5m2U7zLLUzsEyZcrnOpw/bpT6s78LKeP3aFRpkmmfDRs10zjM3Qh+lbpMZ1qGRUUnqurjmsE1e0fr6Al8iizb6VMswdS0z7995r6VrDvt3fujD/g3F/ziZnvMB0cpI6jdsliXn9RxyZpwGwLXRW9lOk//juT4cK4v/NglQ3twA87KGXAlKPz0hMQkC7yRQM5sOgAaOxgTdS2Bo17Is+tiabz6wpFtrUxQ6BjkoFNCsrjHGRgqCQhIK+mWomTdvQPiB4xqPhe8/illjFxQlUs4qt2jegIgDxzTaRPx9FIsWDfO93Miwe8RGR+BUv6X6sRJGJalZpwl3rvvne74A1Z0acf3yacIe3AHg/t1r3Ar8jzoNX65zW7zZ5BoLmZiZmdGgQQP8/Pxo3Lgxfn5+TJ06ldmzZ/P48WOePn3K9evXadeuHd999x2DBw9mypQpANSqVYslS5bg5ubGb7/9xv3799m4cSP37t2jUqVKAEybNo19+/bh7e3Nd999p17u9evX6dSpE7169eKnn35CkXoU/e2336hevTqLFi1CoVDg6OjIpUuXWLBggXraypUrM23aNPX9SZMmsW/fPrZu3cpbb72FiYkJgwcPxtvbmwEDUs7tW79+PXZ2drRr1y7HmixcuJD+/ftja2tL3bp1admyJb169eKdd95Rt+nXr5/GNCtWrMDGxoarV6/i4uKSt5WQyePYGJKTkzE3t9B43Nzcgmgdp2MolVE01NI+KSmJ2NgYLC2tXipTXnKamVsQrYzSmbPBK8ypDxnTRCsjU7NpDs00M7cgIuxRNtNFaZnGUufrU6lUrF6+FCfn+jhUzf5c34z0YbvUh/VdWBmjlVGYWWSap4XueeZG2rTmWrbJ8HDtQ5HTpjPPlMX8JbNoo0+1VKbu35lraW5uSXh49vt3UdayOO3fUPyPkxmXpyunrmH86Tlzvz2rVCrWLP+5wI7n+nCsLG7bJEC5MinfW8Y+0fxyKfZpMlZmur/TLG9hSJ1qhpy69ILFG6KpYGnI0K5lMTCA3UfST5mpbGPIF6MtMCqhIC5exdLNMTyIyP7aDS/DuII1caERGo/Fh0ViYGRESWsL4h6FY2xrTVxopEabuNBIjG3L53u5j6NTllnWTHM9lTWzIiriQb7nC9Ch52ieP3vMvI97oDAwRJWcRNeBk2ncqutLzbe4Obb75UauibyRjgUt2rVrh5+fHx4eHhw9epQ5c+bwxx9/cOzYMaKjo6lQoQJOTk6cO3eOmzdvsn59+vlIKpWK5ORkbt++zeXLl1GpVNSuXVtj/nFxcVhZpR8knj9/TuvWrRk0aBA//fSTRtuAgACaN2+u7mgAaNGihUabpKQk5s+fz+bNm7l//z5xcXHExcVRunRpdZuxY8fStGlT7t+/T+XKlfH29mbEiBEa89XF2dmZy5cvc+7cOY4dO8aRI0fo0aMHI0aMYPny5QAEBQXx1VdfcerUKSIiItQjFYKDg7V2LKRlzCg+Lo6SxrqHyGXuslapsjyUqXmm9qRcoVVBzq/5ZWSpqUqVz5yFpzhmPPrPfn7/5Uf1/RkzF6QuO1PDnFY8ul6f9mlW/G8RwXeC+Pb7X/KcWVvA4rhdFsf1ndMyCyJj5pqqcphnZkf++Zvfl3qq738+a772rKhysf60bSeFU9HiWcv9LMtQyxmztO/fqlzUUnuWQto6i9n+rS/HyaP/7Mfrlx/U9z+b+b3WnLmImbWm2ew7K/+3kOA7Qcz+/tdc5cxpWcXxWFnctkmA5vWMGd69rPr+4g0xqcvKHEbLYxmfVqR0Pqza/RiVCu4+TMS8rAFdWppqdCw8ikhi1v+UmJZS0NjZmDG9y7FglbJQOxdQZUqeVteMj2trk/mxbJw9toctXrPV98d9+qvmstIWw8sf886f/JNzR/cwbNICbO1qcv/ONXasWYCZhQ3N3HrlPAMhtJCOBS3atWvHihUruHDhAgYGBjg7O+Pm5sbhw4dRKpW4uaX0fiUnJzN+/HgmT56cZR4ODg5cvHgRQ0NDzp07h6Gh5kVlypQpo/6/sbExHTt2ZO/evUyfPh07Ozv1c6pcHJA8PT1ZtGgRixcvpl69epQuXZopU6YQH58+BK1hw4a4urqyZs0a3N3duXTpErt37851TQwMDGjatClNmzZl6tSprFu3jmHDhvHFF19QrVo1evTogb29PV5eXlSqVInk5GRcXFw0MmQ0b948Zs+erfHYh5M8+Gjyx1nali1nhoGBQZZvDWJilFm+yUhjYWGJMnP76GgMDQ0pWy7vwzhzIy1nluXGRGf5liZjziyvS53T7I3K2OSt1tR0dFbfT0xIGdYYrYzCwjL94kMxMdFZvuXMyNzCUv0tXvo02reVFf9bxNnTx5k9/2esrG3ylFcftsvivL4LO6O5ljax0brnqU3Tt1pRy7GO+n5C6japVEZikeGbvpjo6CzfomekLUtMtO7tJL+Kdy1bU0vL/q3MvH9HK7OMjsjIXMc+VFi1LG77t74cJ5tkWt8JCfFac8bGKLPdjrRuezpyrvzfIs6dPs6s+UvzfTzXh2NlcdsmAfwD47l1L33UROrZAZiVMSAmw6iFcqYGWUYxaGR7nExSsubf4g8jkjAva4ihASSlTpqUDGHKlE6EOw8TqVbJiI7NTVmz53GBvaaM4kIjsow8KFnekuSEBOIjo1PaPIrA2FbzQonGNpZZRjpkx6Xx21SpmX6xx8TU/eZxdARmFunLfxITlWUUQ17tWudJh15jaNQyZYRCJYfaKCMecsBnuXQsiHyTayxokXadhcWLF+Pm5oZCocDNzQ0/Pz/19RUAGjVqxJUrV6hZs2aWW8mSJWnYsCFJSUmEhYVled7W1la9PAMDA9auXUvjxo1p3749Dx6kD29ydnbm1KlTGvky3z969Ci9evVi6NChuLq6Ur16da3XcBgzZgze3t6sXLmSjh07Ym9vn+8aOTunfGB4+vQpkZGRBAQE8OWXX9KhQwfq1KmT4y9GzJgxg5iYGI3b2PETtbY1MjKiRs3aXDh/VuPxC+fP4VRH+2kWjk7OXDh/TuMx//NnqVHLkRIlCqc/LSWno5acZ3GqU1frNLWd6mppf6bQchbnjCamplSsZKe+2TlUxdzCkovnz6jbJCQkcPWyP4461ntKXhcuasmbcRqVSsXy3xZx+sQRZs5dTAXbSnnOqw/bZXFe34WdsbZTXS74a7bxP39G5zy1ybxN2qu3yfT5JiQkcOXyhRy2yaxZUrbJ3GfJDX2qpZ2OWl7NRS0v+p/ReCzz/l0Qiuv+rS/HSRNTU2wr2alvdg7VMLew0siZmJqzdo45Ndf3xfP/akyjUqlY+dtC/j1xmK/m/oRNvo/n+nCsLH7bJMCLeBVhyiT17UF4EtGPk3Cunn7hQEMDcKxqxM17uq+FcCMkARtLQ42xFBWsDIl+nKTuVNClRO5/FCLPok/5Y92hpcZj5Tu1JubcZVSp16pQnvLHukMrjTbWHVujPHk+18spZVKa8rYO6putXQ3KmVsTeOmkuk1iYgI3A85StXaD/L8gID7+RZZRDwoDgzf21wxEwZCOBS3SrrOwbt069TUI2rZty3///ae+vgLAp59+ysmTJ/noo4/w9/fnxo0b7Nq1i0mTJgFQu3ZthgwZwvDhw9m+fTu3b9/mzJkzLFiwAF9fX41lGhoasn79elxdXWnfvj2PHqWcGzlhwgSCgoLw8PAgMDCQDRs2sGrVKo1pa9asyd9//82JEycICAhg/Pjx6ukzGjJkCPfv38fLy4tRo0ZleV6X/v37s2jRIk6fPs3du3fx8/Pjo48+onbt2jg5OWFhYYGVlRXLli3j5s2bHDp0SOMXI7QxNjamXLlyGrfsToPo2WcAB/b7cmC/LyHBd1m57BciwkNx79oDgLWrvPjJM/2aFe5dexIeFspKr18ICb7Lgf2+HNzvS+++76rbJCQkcDvoJreDbpKYmEhkZAS3g27y8MH9XNcmsx59BnBw/14O7vflXvBdVi5bSkR4KJ1TfzN63aplWnN6e/3CveC7HEzN2avvwEw5b3A76AaJiYlERUZwO+gGDx/ce20zQsrwzW693mX71nWcPnGE4Du3+GXxdxgbG9ParZO63c+ec1i/6n/q+9169ufC+TPs3Lae+yF32bltPZf8z9KtV/pvhy//bSFH/fbzf9O/ppSpKUplJEplZJbTc3KiD9ulPqzvwsjYvWc//P87w/atG7gXcpftWzdw0f8c3Xvl//fZFQoF3XsN4I8t69Xb5NJF8zA2NqaNW0d1uyWec1m3apn6free/bnw31l2pGbZoc6Svk0+f/5MXVNIubjh7aAb2Z5/ro0+1bJbrwFs35Jh/1bXMn3/XuI5l/Wrflff76quZcr+vWNr1v07cy1D81lLfdi/9eE4mZaza68B7Ny6ln9PHCb4zi1+XTw3NWf6T/Yt9fyWDRlyvtNzABfPn8Fn2zruh9zFZ9s6LvmfpWuv9Jqu+M2To377mTx9JiampkQrI4lWRhKfx5z6cKzUh20yzd+nn9O9jSmNnEpSubwho3uXIz5BxelL6etlTO+y9OuQftruP2efU8ZEwaB3ylDB0pD6tUrSrXVpDp1J/+nQvu1LU8vBCCszAyrbGNK3fWmcqhpx6tKLXGczLG1KOVcnyrk6AWBazY5yrk6Usq8IgOMcD1y9069ldnfZJkyqVKLOD59Rxqk6diP6YT+yH7cWrlS3ubN0DdadWlF92lhKO1an+rSxWHdowZ2fV+e9eKkUCgVt3xnG3zu9uPjvAR6G3GDDr19Q0rgUjVt1U7db98sMdm9cpL6fmJjAvTvXuHfnGklJCcREhXLvzjXCHwWr29Rt1I6/d3px5b/DRIbd5+K/B/Dbu4Z6TTvkO68QClVuxtq/gaZNm4anpyeXL1+mbt2U3uoGDRrw4MEDQkND1b18Z86c4YsvvuDkyZOoVCpq1KjBwIED+fzzz4GUA/acOXNYs2YN9+/fx8rKihYtWjB79mzq1avHqlWrmDJlCtHR0QAkJiYycOBAAgIC8PPzw8bGhj179jB16lRCQkJo1qwZI0eOZNSoUSiVSszNzYmKimLUqFEcPHgQU1NTxo0bR3BwMDExMezcuVPjdQ0fPpy9e/fy4MEDjLO7nkEGXl5ebNy4kcuXLxMTE4OtrS3t27dn1qxZVKlSBYADBw4wefJkbt26haOjI0uWLKFdu3bs2LGD3r1752o5V29mfyGaP/fsZMcfm1BGReFQpSqjxn1EXRdXAJYsnE9Y2CPmzF+sbn/5kj/eXr8SfPcOllZW9Ok/iC6pHxAAwkIfMX7UoCzLqVvPVWM+malyOC/xzz072fnHxtSc1RiZIefPC+cRFvaIb+enX0vjyiX/lDf9DDndu6YPQwsLfcgEHTkzzicvikPGJFXOXy+oVCq2bvDm730+PH3yhJqOdRgzwUPjolwzP5tE+Qq2TJz6hfqxk8f+YdO65YQ+eoCtbWUGDR/LWy3TL+AzoHsbrcv7cMoM3u6oeeGiEorsr5xdHLZL2SazZgQ4ccyPjWtXEProIRVsKzEkFz/nmFMtVSoVWzasYv+fu3j65Am1HOsw9oMpGtvk15/9H+VtbJnkMUP92MljfmxYu4KwRw+oYFuJwcPHamS5fPE8M2dMybK8dh26aMwHQJHtWcrFo5bJufjeIqWW3vydoZZjPpiaqZaTsbGxZaLH5+rHTh7zY+Pa5epaZv5pycsXzzNrxv9lWV67Dl005gNgSPbnZBeH/TtRlf03y8XhOJmci/P1VSoV2zas5MC+XTx98piajs6MypRz9mcTKV+hIh9myHnq2D9sXudF6KMHVLCtzHvDx2nkHNi9tdblfTDlc9plymmUi+N5UR8rc7N/F/U2+eP63I126OVWGrfGKT8heeteAut8H3M/PH2f++R9cyKik1jpk34KQw27ErznXhYH2xIoY5M5ev45vsefqU+PGNmzLHWqlcSsjAHP41TcC03E9/hTrt7KOhKi3xzt27Bl22a0OLg2y+Mha7ZzcfQM6q+Yh2mVypzqmP6T7JZtmuLsOYMyzrWIexBG0I9eBC/bpDG9bV93HGdPwbS6Hc+CQgj8elGOP2lp8G/2v2ijUqnYt+1XTh7cyrOnsVSpWZ/+o76gon0tdZufZ4/Asnxlhnw4F4DIsPt8O9k9y7xq1GnCpJmrAHjx/Cm+W37m0pmDPImJopxFeRq16op7vw8oUULzlzveaVhwP0MqXm/SsfCG6dSpE3Xq1GHJkiVFHSWLnDoWiouc/vAQuZObjoXiIKeOheJAtsmCow+1zOkPj+IgNx0LxUFOHQvFQU4dC8VBbjoWioOcOhaKA33Yv3PbsVDUdHUsFCc5dSwUB9KxIHJLP44M4qVFRUWxf/9+Dh06xNKlS4s6jhBCCCGEEEKI14R0LLwhGjVqhFKpZMGCBTg6Omo8V7duXe7evat1ut9//50hQ4a8iohCCCGEEEIIIfSQdCy8Ie7cuaPzOV9fX/XPqGVWoUKFQkokhBBCCCGEEOJ1IB0LQn0BRiGEEEIIIYQQIq/04+pKQgghhBBCCCGEKJakY0EIIYQQQgghhBD5Jh0LQgghhBBCCCGEyDfpWBBCCCGEEEIIIUS+SceCEEIIIYQQQggh8k06FoQQQgghhBBCCJFv0rEghBBCCCGEEEKIfJOOBSGEEEIIIYQQQuSbdCwIIYQQQgghhBAi36RjQQghhBBCCCGEEPkmHQtCCCGEEEIIIYTItxJFHUCINCoURR0hV5L1oD/OgOSijpCjEorEoo6QK0kYFnWEHClQFXWEHOnL/q0P+44oOPqwXRoqkoo6Qo4M9KCOoB/rWx8yJiXpx3HS4N/LRR0hR8nNXIo6Qs4SAos6gdATxf8vJCGEEEIIIYQQQhRb0rEghBBCCCGEEEKIfJOOBSGEEEIIIYQQQuSbdCwIIYQQQgghhBAi36RjQQghhBBCCCGEEPkmHQtCCCGEEEIIIYTIN+lYEEIIIYQQQgghRL5Jx4IQQgghhBBCCCHyTToWhBBCCCGEEEIIkW/SsSCEEEIIIYQQQoh8k44FIYQQQgghhBBC5Jt0LAghhBBCCCGEECLfpGNBCCGEEEIIIYQQ+SYdC0IIIYQQQgghhMg36VgoYqtWrcLc3DxP0/j5+aFQKIiOji6UTEIIIYQQQgghRG6VKOoAovhLSkri+++/Z/Xq1dy9excTExNq167N+PHjGTly5CvL8eeenfhs34QyKhJ7h2qMGjcRZ5f6OttfueSPt9evhATfxtLSmt7938O9ay/188F3b7NpnTdBNwMJDwtl5NiP6NF7wEvnVKlUbNngzYF9u3n65DE1HZ0Z+8FU7KtUy3a6U8f92LR2BY8ePsC2YiUGDR/LWy3bqp+/etkfnz82cetmIMqoSD75ci7NWrTJV0Z9qOWfe3ayc/vm1IxVGZ1DxsvqjHfUGbt07amRceM6b4JuXic8LJRRYz+iR+/+L5UR9GN979uzI3V9R2HvUJWR4ybi7OKqs/2VS/6s8vqFkOA7WFha0bv/II31DXDy+GGN/IOHj9HInx/6UMuC3ncgpZYb167UqGXzlvnLVxgZ5VhZvGupDxkhbX2v4u/U9V3L0ZkxH0zBIYf1nZtjTV6Pcbrow7FSH+qYpvfbZWjX2ITSJgYE3Utg7Z5Y7ocnZjuNaSkF/TqUoYlzKUxLGRARncTGfbFcvBGvnmeft8toTBP9OIn/+yE8z/lUKhX7tv3KyUPbeP4kFoea9eg/6ksq2tfUOc3DkJv8uXUpIbeuoox4QO/hn9Ku6zCNNklJiezb9ivnju3lcXQE5SzK09StF537jMfAIPff6Vq2bkL1j0dj1siFUpVsONvvQ0J3Hcx+mjZNcf7xM8o41yLuQRhBnssJXrZJo41tn87UnvV/mNZw4FlQMIFfLyLU50Cucwmhi4xYEDmaNWsWixcv5ttvv+Xq1av8888/jB07FqVS+coyHDtyCG+vpfQbOBTPJcup41KPOTM/ITwsVGv70EcPmTPzM+q41MNzyXL6DhzCit9/5uTxw+o2cXFxVLCtyLAR4zC3sCywrDu3bWDPji2MnjCF+YuWYW5hyTdfevD82TOd0wQGXGbh/Nm0be+O59KVtG3vzsL5M7l+7aq6zYsXL6harQajJ0x5qXz6UMtjRw6x0usX+g8ciucSL5xd6vPtzE9zyDgDZ5f6eC7xop/OjJUYNmIcFm/Q+j6uXt/D+HGJF3Vc6jM3h1rOnfkpdVzq8+MSL/oNHMrK35do1DItv1v7znguXZHy7/xZGvnzo7jXsjD2ncCAK3im1nLh0uUvXUt92L/TvInruzCOlcU9Y5qd2zaye8cWxkyYwoJFv6eu749ztb6zO9bk9Rini74cK4t7HdN0bV2aLi1MWbs3llm/RxLzJInp71tQqqRC5zSGhjD9fUusLQxZujmaz5aEs9InBmVsska7e6EJTP4+TH378peIfGU8uGslfr5r6Dfyczy+20Q5c2t++24sL54/1TlNQvxzrGzs6DF4CuXMrXXMdwUnDmyh38jP+cxzFz0Ge/DPbm+O7lufp3yGpU2JvRjIlf/7JlftTara0XT3MqKOneNY097cXPA/6i76Ats+ndVtzJs3oOGGRdxf78PRxr24v96HRhsXY95Md2ekELklHQuZ7N69G3Nzc5KTUw5i/v7+KBQKpk+frm4zfvx4Bg0aBMCJEydo27YtJiYm2NvbM3nyZJ4+TT8gxcfH88knn1C5cmVKly7NW2+9hZ+fn87lR0ZG0qxZM3r27MmLFy8A8PX1pXbt2piYmPD2229z586dLNMMGjQIOzs7TE1NqVevHhs3blQ/v2bNGqysrIiLi9OYrl+/fgwfPjxXNfnwww8ZMGAA1apVw9XVldGjR+Ph4aFuExcXx+TJk7GxsaFUqVK0bt2aM2fO5Djv3Nq9YysdOnelk3t37ByqMHrcJKysbfjL10dr+798d2Fd3obR4yZh51CFTu7dad/pHXy2b1a3qVXbifdHf0Brtw4YGRkVSE6VSsVen630HTiM5q3ccKhanUkenxMXF8fRw3/rnG6vz1bqN2xC33eHUtm+Cn3fHUo918bs9dmqbtOoSXMGDR9L81ZuL5VRH2q5S52xG/YOVRg9biJW1jbs892VQ8aJ2DtUoZN7N9p3eoed27doZBwxegJt3NpT4o1a31to37krHd27Y+dQlVHjJmFlXV7n+t7v64N1eRtGjZuEnUNVOrp3p32nruzanv6Nxx6fbbg2bEzfd4dilyH/ngz580o/alnw+85un224NmxCv3eHYGdfhX7vDqGeayP2+GwrNhnlWFl8a6kPGSFlfe/x2Uq/gcNo3qpt6vqekbq+dX9TmptjTV6Pcbrow7FSH+qYxr2FKbuOPOVcQBz3wxLx2h5DSSMFzeuX0jlN24YmlDFRsGRDNDeCE4iMSeZGcAIhoZqjHJKSIeZJsvr2+Jkqz/lUKhVH/lxLp97jcG3WiYr2tRjy4XfEx73g3PG9OqdzqFGPXkOn0ahlVwxLlNTa5s71C7g0fpu6jdywsqlMg+adcazfkpBbV/KUMfyvI1yfuZhHO3UfEzOqMu49XgQ/5OrH3/Hk2i1CVm4jZNV2qnuMUrepNul9Ig6cIOj7ZTwNvEXQ98uIOHSKqpPez1M2IbSRjoVM2rZty+PHjzl//jwAhw8fxtramsOH03ug/fz8cHNz49KlS7i7u9O3b18uXrzI5s2bOXbsGBMnTlS3HTlyJMePH2fTpk1cvHiRAQMG0KVLF27cuJFl2ffu3aNNmzY4OTmxfft2SpUqRUhICH379qVr1674+/szZswYPvvsM43pXrx4QePGjdmzZw+XL19m3LhxDBs2jNOnTwMwYMAAkpKS2LUr/Y+yiIgI9uzZk6tTGWxtbTl06BDh4bqHmX3yySf88ccfrF69mv/++4+aNWvi7u5OVFRUjvPPSUJCAkE3A3Ft2FTj8QaNmnItQPtB+vq1KzRolLl9M4JuBJKYmP0wvJcR9ugh0cooXDMs28ioJM4urgQGXNY53fVrV7K8PtdGzbKdJj/0oZYpGa/ToGGTTMtswjUd9Qi8dpUGjTTbN2zUVNa3upaZl9VU57ICr13ReD2Qsn1krKW2/A0aNSVQxzaUG/pRy4Lfd65fu5Jl/TRs1EznPIsiY2F4U9f3m5YxTah6facfp42MSlI3H+s747EmP8c4bfTlWFnc65imvIUh5mUNuXwz/QutxCQIvBNPLXvtf4wDNHQqxc2QBIZ3L8eST8oz9yMrurctjSLTIAdbK0MWTyvPj1Ot+WCAGeUtDPOcMTLsHrHRETjVb6l+rIRRSWrWacKd6/55nl9G1Z0acf3yacIe3AHg/t1r3Ar8jzoNX+50wZyYN29A+IHjGo+F7z+KWWMXFCVSzn63aN6AiAPHNNpE/H0UixYNCzWbeDNIx0ImZmZmNGjQQD2qwM/Pj6lTp3LhwgUeP37Mo0ePuH79Ou3ateOHH35g8ODBTJkyhVq1atGyZUuWLFnCmjVrePHiBUFBQWzcuJGtW7fSpk0batSowbRp02jdujXe3t4ay71+/TqtWrWiY8eOrF69mhKpB4DffvuN6tWrs2jRIhwdHRkyZAgjRozQmLZy5cpMmzaNBg0aUL16dSZNmoS7uztbt6b0RJuYmDB48GCNZa5fvx47OzvatWuXY00WLlxIeHg4tra21K9fnwkTJvDnn3+qn3/69Cm//fYbP/zwA++88w7Ozs54eXlhYmLCihUrtM4zLi6O2NhYjVt8phEVaR7HxpCcnIy5uYXmujK3IFqpveNCqYzCLFN7c3MLkpKSiI2NyfE155dSGZm6LM3ho+bmljqzAkQrozC3yJTXQvfryy99qKWujObmFkTrOP1GqYzS2l7WdwzJyUmYZcmne1nRWmppZm5JUlISj1NrWRj59aOWBb/vRCujMMuU3yyf+fVh/05f7pu5vt+0jGnS8mRe32bmFihfYn3n5xinjb4cK4t7HdV5yqT8eRH7VPMUhtinyZiV1f2nR3kLQ5o4l0KhgIVrlew6/JR3Wpamp1tpdZtb9+JZtj2GH9coWekTi1kZQ74cY0lpE92nWGjzODrl9ImyZlYaj5c1syI2On+nVqTp0HM0jVq9w7yPe+AxpAE/fjYAt3eG0bhV15eab06MK1gTF6qZPT4sEgMjI0pap6x/Y1tr4kIjNdrEhUZibFu+ULOJN4NcvFGLdu3a4efnh4eHB0ePHmXOnDn88ccfHDt2jOjoaCpUqICTkxPnzp3j5s2brF+ffs6USqUiOTmZ27dvc/nyZVQqFbVr19aYf1xcHFZW6Qey58+f07p1awYNGsRPP/2k0TYgIIDmzZujyNBd26JFC402SUlJzJ8/n82bN3P//n3i4uKIi4ujdOn0A/HYsWNp2rQp9+/fp3Llynh7ezNixAiN+eri7OzM5cuXOXfuHMeOHePIkSP06NGDESNGsHz5coKCgkhISKBVq1bqaYyMjGjWrBkBAQFa5zlv3jxmz56t8dgHkzz4aPI0nTmyZFWpsvRiZ9deRcpQuby99WTvyD/7WbbUU31/xqwFqcvWbKdChSKHJWd+XqVS5Wr95EdxrKWWhWouU5W1rprNdWUsuJT6u74176tUWh7UaJ/5OW3DTLWtn9zn199aFvy+oz1/8cr4smR9F57imPHIP3/ze4b1/fms+VqXTS7Wd26ONXk9xulcUjE7VupLHVvUL8WIHuXU9xeuV6ZPnzlpNmctGCjg8dNkvHfFolLBnYeJmJczoGur0vj4pZxmnHYRRwDC4GaIkh+mWNO6oQl/ndB9nYmzx/awxSv9c+e4T39N+Y+W/eFljyfnT/7JuaN7GDZpAbZ2Nbl/5xo71izAzMKGZm69cp7By8hc4LTXkvFxbW2yWzFC5JJ0LGjRrl07VqxYwYULFzAwMMDZ2Rk3NzcOHz6MUqnEzS3lvM3k5GTGjx/P5MmTs8zDwcGBixcvYmhoyLlz5zA01BymVaZM+hVtjY2N6dixI3v37mX69OnY2dmpn1PlYkf39PRk0aJFLF68mHr16lG6dGmmTJlCfHz6wbdhw4a4urqyZs0a3N3duXTpErt37851TQwMDGjatClNmzZl6tSprFu3jmHDhvHFF1+oM2b5sJLNh70ZM2ZoXKMBIChEe6942XJmGBgYZOmNj4mJztK7nsbCIuu3XjHR0RgaGlK2nJnuF5pHTd9qTS1HZ/X9xIQEIOVbIQvL9Iv6xEQrs3wrmZG5hWXW1xcdneWbpZdVnGuZOWOWZcYoddbDQkf9UjKW0zpNfujn+jbUWsvM37Rln02psb7NtW4TutePNvpZy4Lfd7TVMjZa9zyLImNBkPVdeMfK4pix6VutqOVYR30/Qb2+I7GwTP9iJSY6Oss36RnldKzJzzFOm+J6rNSXOp6/FkfQvfRvwY0MUz77mZUxIOZJ+qiFcqUNiM1wP7PoJ8kkJak0/sZ9GJ6IeVlDDA0hKSnrNPEJKu6FJWJrmf2fNC6N36ZKzfQLFCYmpHxGfhwdgZlF+rf1T2KisoxiyKtd6zzp0GsMjVqmjFCo5FAbZcRDDvgsL9SOhbjQiCwjD0qWtyQ5IYH4yOiUNo8iMLbVvOiksY1llpEOQuSHnAqhRdp1FhYvXoybmxsKhQI3Nzf8/PzU11cAaNSoEVeuXKFmzZpZbiVLlqRhw4YkJSURFhaW5XlbW1v18gwMDFi7di2NGzemffv2PHjwQP2cs7Mzp06d0siX+f7Ro0fp1asXQ4cOxdXVlerVq2u9hsOYMWPw9vZm5cqVdOzYEXt7+3zXyNk55QPi06dP1a/32LH0c7YSEhI4e/YsderU0Tq9sbEx5cqV07iVNDbW2tbIyIgaNR25cP6sxuMXzp/FqU5drdPUdqqrpf0ZatRyVJ9mUhBMTE2pWMlOfbNzqIq5hSUXMyw7ISGBq5cv4FjHRed8ajvV5aK/5sUuL5w/k+00+VGca6mZsbaWZZ7DSUc9HJ2cuXD+nMZj/ufPyvrWUcuL58/qXJajU12N1wPgn2l913aqywX/rNuEo45tSBv9rGXB7zvaaul//ozOeRZFxoIg67uwjpXFM2Pm9W2vY31fycX6zu5Yk59jnDbF9VipL3V8Ea8iLCpJfbsfnkj04yRcaqZ/rjM0BMeqJbkREq9zPjeC47GxLKExiKCCVQmUsUlaOxUAShhCJesSRD/R0SBVKZPSlLd1UN9s7WpQztyawEsn1W0SExO4GXCWqrUb5PiasxMf/yLraBADA1TJujtVCkL0KX+sO7TUeKx8p9bEnLuMKvW6H8pT/lh3aKXRxrpja5QnzxdqNvFmkI4FLdKus7Bu3Tr1NQjatm3Lf//9p76+AsCnn37KyZMn+eijj/D39+fGjRvs2rWLSZMmAVC7dm2GDBnC8OHD2b59O7dv3+bMmTMsWLAAX19fjWUaGhqyfv16XF1dad++PY8ePQJgwoQJBAUF4eHhQWBgIBs2bGDVqlUa09asWZO///6bEydOEBAQwPjx49XTZzRkyBDu37+Pl5cXo0aNyvK8Lv3792fRokWcPn2au3fv4ufnx0cffUTt2rVxcnKidOnSfPDBB0yfPp19+/Zx9epVxo4dy7Nnzxg9enSul5OdHn0GcHD/Xg7u9+Ve8F1WLltKRHgonbv2BGDdqmX85Pmdur17156Eh4Xi7fUL94LvcnC/Lwf3+9Kr70B1m4SEBG4H3eB20A0SExOJiozgdtANHj64l++cCoWCbr0GsH3LOk6fOELwnVv8smgexsbGtHHrpG63xHMu61f9rr7ftWd/Lvx3lh1b13M/5C47tq7nkv9ZuvVK/+3w58+fqfNCykWcbgfdyPNPQelDLXv2GcCB/b4c2O9LSPBdVi77hYjwUNy79gBg7SovrRlXev1CSPBdDqRm7N333UwZb3I76CaJiYlERkZwO+gmDx/cz1dG0Jf1/W7q+t7LveA7eC9bSkR4mMb6XuI5V92+c9deqet7KfeC73Bw/14O7felZ9/31G26qfNv4F7IXXZs3cBF/3N0z5A/r/SjlgW/73Tv2Q///86wPbWW29W17J+3AhZiRjlWFt9a6kNGSFnf3XsN4I8t69Xre6l6fXdUt1viOZd1q5ap7+fmWJPTMS639OFYqQ91TPPXyWd0b1OaxnWMqWxTgrF9zIhPUHHq4gt1m3F9zRjQMX0E76F/n1HGVMGQd8pSwcoQ19rG9GhbmoP/pp/i8J57WRyrGmFtbkh1OyMmvmeOibGCY+ef5ymfQqGg7TvD+HunFxf/PcDDkBts+PULShqXonGrbup2636Zwe6Ni9T3ExMTuHfnGvfuXCMpKYGYqFDu3blG+KNgdZu6jdrx904vrvx3mMiw+1z89wB+e9dQr2mHPGU0LG1KOVcnyrk6AWBazY5yrk6Usq8IgOMcD1y9F6jb3122CZMqlajzw2eUcaqO3Yh+2I/sx62FK9Vt7ixdg3WnVlSfNpbSjtWpPm0s1h1acOfn1XnKJoQ2ClVuxtq/gaZNm4anpyeXL1+mbt2UHt0GDRrw4MEDQkND1T2RZ86c4YsvvuDkyZOoVCpq1KjBwIED+fzzz4GUN+g5c+awZs0a7t+/j5WVFS1atGD27NnUq1ePVatWMWXKFKKjowFITExk4MCBBAQE4Ofnh42NDXv27GHq1KmEhITQrFkzRo4cyahRo1AqlZibmxMVFcWoUaM4ePAgpqamjBs3juDgYGJiYti5c6fG6xo+fDh79+7lwYMHGOsYIZCZl5cXGzdu5PLly8TExGBra0v79u2ZNWsWVapUAVJ+meKTTz5h48aNPH78mCZNmrBo0SKaNm2aw9zTXbn5MNvn/9yzk51/bEQZFYVDlWqMHPcRdV1cAfh54TzCwh7x7fz0a1RcueSf8ofm3TtYWlnRp/8g3LumD0ELC33IhFGDsiynbj1XjflklpxDf5xKpWLLBm/+/nMXT588oZZjHcZ8MBWHqtXVbb7+bDI2NrZM9Phc/djJY35sXLucsEcPqGBbKcvPpV2+eJ5ZM/4vy/LadeiiMR8AA7LvFS8OtVRoPRdVM+OOPzalZqzKqAwZlyycT1jYI+bMX6xuf/mSP95evxKcIWOXDB+IwkIfMV5HxozzySyJ7K82XRzWd0613LdnBzv/2IQyKhKHKtUYMW6ixvoOD3vEN5nWt7fXUvX67t1/sMb6Tsu/Ye0Kdf7Bw8fSvJXuK16rcnEGd3Go5avedwBOHPNj49oVhD56SAXbSgwZPibbWuakOOzfOR0n4c1c3/l93ynuGXO/f69if4b1PfaDKZnW9/9R3saWSR4z1I/l5liT3TEuL4rDsTInxaGOP6zJXdbeb5fh7SYmmJYy4Nb9BNbsieV+WPqvj3w20pKI6CSW74hRP1bD3ojBXcriYGtE9OMkDv/3nL1Hn6pPj/hggBmOVUpS1tSAx8+SuRmSwPZDj3kQnnXEwnt9sj+lQaVSsW/br5w8uJVnT2OpUrM+/Ud9QUX7Wuo2P88egWX5ygz5MKVTKTLsPt9Ods8yrxp1mjBp5ioAXjx/iu+Wn7l05iBPYqIoZ1GeRq264t7vA0qU0PwJ1+RmukeEWLZtRouDa7M8HrJmOxdHz6D+inmYVqnMqY7pPx1v2aYpzp4zKONci7gHYQT96EXwsk0a09v2dcdx9hRMq9vxLCiEwK8XZfuTlt0SAnU+J0RG0rHwhunUqRN16tRhyZIlRR0li5w6FoqL3HxgLmo5fVguDnL6Y7i4yKljoTjQh1rm5g+P4kAf9h19oA/HSZD1XVD0Zf8WBSO3HQtFLaeOheIgu46F4kI6FkRuycUb3xBRUVHs37+fQ4cOsXTp0qKOI4QQQgghhBDiNSEdC2+IRo0aoVQqWbBgAY6OjhrP1a1bl7t372qd7vfff2fIkCGvIqIQQgghhBBCCD0kHQtviDt37uh8ztfXV/0TRplVqFChkBIJIYQQQgghhHgdSMeCUF+AUQghhBBCCCGEyCv9uLqSEEIIIYQQQgghiiXpWBBCCCGEEEIIIUS+SceCEEIIIYQQQggh8k06FoQQQgghhBBCCJFv0rEghBBCCCGEEEKIfJOOBSGEEEIIIYQQQuSbdCwIIYQQQgghhBAi36RjQQghhBBCCCGEEPkmHQtCCCGEEEIIIYTIN+lYEEIIIYQQQgghRL5Jx4IQQgghhBBCCCHyTyXEa+rFixeqmTNnql68eFHUUXTSh4wqlX7klIwFRx9ySsaCow85JWPB0YeckrHg6ENOyVhw9CWneD0pVCqVqqg7N4QoDLGxsZiZmRETE0O5cuWKOo5W+pAR9COnZCw4+pBTMhYcfcgpGQuOPuSUjAVHH3JKxoKjLznF60lOhRBCCCGEEEIIIUS+SceCEEIIIYQQQggh8k06FoQQQgghhBBCCJFv0rEgXlvGxsbMnDkTY2Pjoo6ikz5kBP3IKRkLjj7klIwFRx9ySsaCow85JWPB0YeckrHg6EtO8XqSizcKIYQQQgghhBAi32TEghBCCCGEEEIIIfJNOhaEEEIIIYQQQgiRb9KxIIQQQgghhBBCiHyTjgUhhBBCCCGEEELkm3QsCCGEEEIIIYQQIt+kY0EIoVN8fDyBgYEkJiYWdRRRiI4cOaJ1HScmJnLkyJEiSCSEEOJ1lZCQwMiRI7l161ZRRxFCFCD5uUmh93bt2pXrtj179izEJLkXEhKCQqHAzs4OgH///ZcNGzbg7OzMuHHjijgdPHv2jEmTJrF69WoArl+/TvXq1Zk8eTKVKlXis88+K+KE6Q4ePMjBgwcJCwsjOTlZ47mVK1cWSaYlS5bkuu3kyZMLMUnuGBoa8vDhQ2xsbDQej4yMxMbGhqSkpCJKpklXXRUKBaVKlaJmzZq0bdsWQ0PDV5pLH49B169fx8/PT+t+8/XXXxdRKk2rV6/G2tqabt26AfDJJ5+wbNkynJ2d2bhxI1WqVCnihPD06VPmz///9u48rOb0/x/485QWaUeRaKVFixIjS6WoLCNZZ+zJOhRtg48lsn5Kko8ZWaLFLsuYsZRpOUSGFkWJ9iyFoolCy3n//ujX0XHKMl/T/T51P67LdeV9ui7P6+Sczvt13/frta3F9yA23DjV19cjLCysxYxxcXGEkomm1NRUSEhIwNjYGADw22+/4dChQzA0NMT69eshKSlJOKGw+vp63L17FxoaGlBSUiIdBwCgqKiI1NRUaGtrk47yWVlZWSguLkZNTY3Adba8n1dUVCA0NBT3798Hh8OBgYEBXF1doaCgQDoa1c7QwgIl8sTEBDfecDgcNP1vzeFw+F+z5QZp2LBhWLBgAWbOnInS0lLo6emhb9++ePjwIdzd3Yl/sF+2bBmuX7+OnTt3wtHRERkZGdDW1sb58+fh6+uLtLQ0ovkabdiwAX5+frCwsED37t0FftYAcPbsWSK5tLS0vuj7OBwOK248xMTE8OzZM3Tt2lXg+sOHD2FhYYHKykpCyQRpaWnhxYsXqK6uhpKSEhiGQUVFBWRkZCArK4vnz59DW1sb8fHx6NmzZ6vl+vg9qCUcDocV70H79+/H4sWL0aVLF3Tr1k3gdcPhcJCamkow3Qd6enrYs2cPbG1tkZSUBDs7O+zcuRN//PEHOnTogDNnzpCOiB9//BFcLhczZ85s9j1o2bJlhJJ9sHTpUoSFhWHMmDHNZgwKCiKUTBgbC8UfGzBgAFauXImJEyciPz8fffv2hbOzM27fvo0xY8Zg586dpCNi+fLlMDY2hqurK+rr62FtbY0bN25ARkYGf/zxB2xsbEhHhIuLC4yNjeHp6Uk6Sovy8/Ph7OyMu3fvCny2bHwNseH9PDk5GQ4ODujYsSMGDhwIhmGQnJyMt2/fIiYmBubm5qQjUu0JQ1FtyJUrVxhzc3Pm8uXLzN9//81UVlYyly9fZiwsLJiYmBjS8fgUFRWZ7OxshmEYJjg4mBk8eDDDMAwTHR3NaGlpkYzGMAzD9OrVi0lKSmIYhmFkZWWZvLw8hmEYJicnh5GTkyMZTUC3bt2YiIgI0jFElrOzM+Ps7MyIiYkxo0eP5v/d2dmZGTduHKOpqck4ODiQjsl39OhRxsbGhsnNzeVfy8nJYWxtbZnjx48zjx49YoYMGcJMnDiRYEr269WrF7Nt2zbSMT6rY8eOTFFREcMwDPPzzz8zM2fOZBiGYe7du8d06dKFZDQ+BQUFJjExkXSMT+rcuTNz4cIF0jE+a/369YyYmBgzcOBAxsnJiRk/frzAH7aQl5fnvwdt27aNsbe3ZxiGYRITExl1dXWS0fh69OjB3L59m2EYhjl79iyjpqbGPHjwgFm9ejX/8wZpmzZtYhQVFZmJEycyW7ZsYYKDgwX+sMHYsWMZJycn5vnz54ysrCyTlZXFXLt2jRk4cCBz9epV0vEYhmGYoUOHMnPmzGFqa2v512pra5nZs2czw4YNI5iMao86kC5sUNS3tHz5coSEhGDo0KH8aw4ODpCRkcGCBQtw//59guk+qK2thZSUFADgzz//5G+n09fXR0lJCcloAIAXL14IbYsHGrb9frzaRVJNTQ0GDx5MOobIatwmyTAM5OTk0LFjR/5jkpKSGDRoEObPn08qnpA1a9bg9OnT0NHR4V/T1dXF9u3b+auH/v7+mDhxIsGU7Pfq1StMnjyZdIzPkpWVRXl5OXr16oWYmBh4eHgAAKSlpfH27VvC6RooKSlBWVmZdIxPkpSUhK6uLukYnxUSEoKwsDDMnDmTdJRPYhiGv5vizz//xNixYwEAPXv2RFlZGclofGVlZejWrRsA4OLFi5g8eTL69OkDV1fXrzqq9286cOAAFBUVkZKSgpSUFIHHOBwOK44JJiUlIS4uDl27doWYmBjExMQwdOhQbN26Fe7u7qzYvZmcnIz9+/ejQ4cPt3QdOnTAzz//DAsLC4LJqPaIFhaoNiUvL6/ZM2UKCgooLCxs/UAt6Nu3L0JCQjBmzBhcuXIFGzduBAA8ffoUnTt3JpyuYavnhQsX4ObmBuDDtr/9+/fD0tKSZDQB8+bNw9GjR7F27VrSUT7p8ePHOH/+fLNnNHfs2EEoFXDo0CEAgKamJry9vdGpUydiWb5ESUlJi00mS0tLAQBqamp4/fp1a0cTUFVVBS6X2+zPmw0flidPnoyYmBgsWrSIdJRPGjlyJObNmwczMzM8fPiQ32shMzMTmpqaZMP9fxs3bsS6desQHh4OGRkZ0nGa5eXlheDgYOzevZtVheGPiUqh2MLCAps2bcKIESPA5XKxZ88eAEBBQQFUVVUJp2ugqqqKrKwsdO/eHZcvX8avv/4KoKF/Umv3oPkYj8eDmJgYCgoKiOb4EvX19ZCVlQUAdOnSBU+fPoWenh40NDTw4MEDwukayMvLo7i4GPr6+gLXHz16BDk5OUKpqPaKFhaoNmXAgAFYvnw5Dh8+jO7duwMASktL4eXlhYEDBxJO98F///tfODs7IyAgALNnz4apqSmAhiZwbMi5detWODo6IisrC3V1dQgODkZmZiaSkpLA5XKJZmt6HpPH42Hfvn34888/YWJiAgkJCYHvJXnT3ig2Nhbjxo2DlpYWHjx4ACMjIxQWFoJhGNacffT19UVdXR3+/PNP5OXlYdq0aZCTk8PTp08hLy/P/2BF2vDhw7Fw4UIcOHAAZmZmAIC0tDQsXrwYtra2AIC7d+9+cY+Lf0NaWhpGjx6N6upqVFVVQVlZGWVlZZCRkYGKigorCgu6urpYu3Ytbt68CWNjY6HXDRsyAsAvv/yCNWvW4NGjRzh9+jS/6JqSkoIff/yRcLoGgYGByMvLg6qqKjQ1NYWeS1L9KiZMmCDw97i4OFy6dAl9+/YVysiGXhWA6BSKg4KCMGPGDJw7dw6rV6/m7waJiopiTWHExcUFU6ZM4ffUGDlyJADgr7/+EroBbW0SEhICzYJ9fHywatUqVu78MTIy4veY+u677+Dv7w9JSUns27ePNU0np06dCldXV2zfvh2DBw8Gh8NBYmIifHx8WPM+SbUftHkj1abk5ubC2dkZDx48QK9evQAAxcXF6NOnD86dO8eq7aD19fWorKwU6NBcWFjIvwEh7e7du9i+fTtSUlLA4/Fgbm6OFStW8DthkzJ8+PAv+j4Oh8OKbucDBw6Eo6Mj/Pz8ICcnh/T0dKioqGD69OlwdHTE4sWLSUdEUVERHB0dUVxcjPfv3/OngCxfvhzv3r1DSEgI6YgAGoqEM2fORGxsLP/mqK6uDnZ2doiMjISqqiri4+NRW1sLe3t7IhltbGzQp08f7NmzB4qKikhPT4eEhARmzJiBZcuWCd3wkfCpwgtbGoqKig0bNnzycV9f31ZKIsjFxeWLv7dx5xJpy5YtQ0REBExMTFhbKP6Ud+/eoUOHDgJb0kmKiorCo0ePMHnyZP4EqvDwcCgqKsLJyYlYLjExMZSWlvI/58jLy+POnTusuVFvKjo6GlVVVZgwYQLy8/MxduxYZGdno3Pnzjhx4gS/oE1STU0NfHx8EBISwt/RJyEhgcWLF2Pbtm38Y7cU1RpoYYFqcxiGwZUrV5CdnQ2GYWBoaIgRI0awbgtoXV0dEhISWL1CTP3fycnJ4c6dO9DR0YGSkhISExPRt29fpKenw8nJiRVHdMaPHw85OTmEhoaic+fOSE9Ph7a2NrhcLubNm4ecnBzSEQVkZ2fj4cOHYBgG+vr60NPTIx2JT1FREX/99Rf09PSgqKiIpKQkGBgY4K+//sLs2bORnZ1NOqLIuHz5MmRlZfk9c3755Rfs378fhoaG+OWXX1gzNo/6Nj5VNGZLoRgAtLW1cfv2baFjixUVFTA3N2dFYS4iIgJTp04VuqmsqanB8ePHMWvWLELJhAsLjQV3NhYWmvPy5UsoKSmx7jNldXU18vLywDAMdHV1WXs0i2rb2FFWpahviMPhwN7eHlZWVpCSkmLdmz8gvEI8cuRIyMnJwd/fnxUrxBcvXoS4uDgcHBwErkdHR4PH42HUqFGEkjUvNzcXeXl5sLKyQseOHcEwDGt+7p06dcL79+8BNJz/z8vLQ9++fQGANY2+EhMTcf36daH56xoaGnjy5AmhVC3T19cnvp23JRISEvz/e6qqqiguLoaBgQEUFBRQXFxMOJ2gmpoaFBQUQEdHhzWrrE35+Pjgv//9L4CGHVReXl7w9PREXFwcPD09WbPSXlFRgaioKOTl5cHHxwfKyspITU2FqqoqevToQToeCgoKUFdXh969ewtcz8nJgYSEBGv6VcTHx5OO8EUKCwubHTP4/v17PH78mEAiYS4uLnB0dBTa/fj69Wu4uLgQLSyIsqKiIlRVVUFRUZE1nzEaycjIwNjYGEVFRSgsLIS+vv4Xj0KmqG+FfZ8kKOr/gMfjYfPmzQgJCcGzZ8/4W7rXrl0LTU1NuLq6ko4IoGHLp4WFBdLT0wVWPZydnTFv3jyCyRqsXLkS27ZtE7rOMAxWrlzJmsJCeXk5pkyZgvj4eHA4HOTk5EBbWxvz5s2DoqIiAgMDSUfEoEGDcP36dRgaGmLMmDHw8vLC3bt3cebMGQwaNIh0PAANr5vmPig/fvyYePMnT09PbNy4EZ06dfrsvHM2bJU2MzNDcnIy+vTpg+HDh2PdunUoKytDZGQk8WNEjaqrq+Hm5obw8HAA4L9Puru7Q01NDStXriScsEFBQQEMDQ0BAKdPn8bYsWOxZcsWpKamYvTo0YTTNcjIyMCIESP4DYLnz58PZWVlnD17FkVFRYiIiCAdEXPmzMHcuXOFCgt//fUXDhw4gISEBDLBRMz58+f5X0dHRws0iq6vr0dsbCzR/i5NtVRcf/z4cbMNrlvbunXr+CvqNTU12Lx5s1Auku/n4eHhePXqFZYvX86/tmDBAoSGhgIA9PT0EB0djZ49exJKKBoZqfaHFhaoNmXTpk0IDw+Hv7+/wJg8Y2NjBAUFsaawwPYV4pycHP4H+qb09fWRm5tLIFHzPDw8ICEhwV8VbjR16lR4eHiworCwY8cOvHnzBgCwfv16vHnzBidOnICuri6CgoIIp2swcuRI7Ny5E/v27QPQsOvnzZs38PX1JX4Dl5aWhtraWgANjfBaWiViy+rRli1b+FMpNm7ciNmzZ2Px4sXQ1dVlzQr7qlWrkJ6ejoSEBDg6OvKvjxgxAr6+vqwpLEhKSqK6uhpAw1i/xlVWZWVlVFZWkozG5+npiTlz5sDf31+gCDdq1ChMmzaNYLIP0tLSMGTIEKHrgwYNwtKlSwkkal5VVRW2bduG2NhYPH/+nD/SsRHpIwbjx4/nfz179myBxxp3fpD+nWNmZgYOhwMOhwM7OzuBnUj19fUoKCgQeM2TYGVlJTBRYfDgwUI/W9Lv5yEhIViwYAH/75cvX8ahQ4cQEREBAwMDLF26FBs2bMCBAwdoRopqghYWqDYlIiIC+/btg52dncAoNRMTE1adbWbzCjHQMJ4zPz9faItsbm4uq0YSxsTEIDo6mt+YqlHv3r1RVFREKJWgpudGZWRk+GO/2CQoKAjDhw+HoaEh3r17h2nTpiEnJwddunTBsWPHiGYLDg6GvLw8AIjEymrTueFdu3bFxYsXCaZp3rlz53DixAkMGjRI4AO8oaEh8vLyCCYTNHToUHh6emLIkCG4desWTpw4AaBhh8XHr3lSbt++jb179wpd79GjB38EKmkcDqfZEax///13s7+HSJk3bx64XC5mzpzJn2bAJo2FDi0tLSQnJ7NiNPTHGosfd+7cgYODg0C/JklJSWhqamLixImE0jUQhffxhw8fCryX//bbbxg3bhymT58OoKGA/DUNUv8NopCRan9oYYFqU548edLs5Acej8df9WQDNq8QA8C4ceOwfPlynD17Fjo6OgAaigpeXl4YN24c4XQfVFVVNdugqKysjJWdkN+8eSO0Ctd400ySmpoa7ty5g2PHjiE1NRU8Hg+urq6YPn06OnbsSDSbmZkZfzRZS03TqK/z4sWLZifPVFVVsepmbvfu3fjpp58QFRWFPXv28PsVXLp0ifiqayNpaelmd088ePAAXbt2JZBI2LBhw7B161YcO3YM4uLiABpWr7du3cpvjMkGly5dwoULF5rdXcEWtbW10NTURHl5OSvfh3x9fVFfXw8NDQ04ODjwx26z3fXr12FhYcGa39tv374V+N1848YNzJ07l/93bW1t4oVDUchItT+0sEC1KX379sW1a9egoaEhcP3UqVP8ufdswOYVYgAICAiAo6Mj9PX1+SuDjx8/xrBhw7B9+3bC6T6wsrJCREQENm7cCKChQMPj8RAQEPDFYyn/bQUFBVi6dCkSEhLw7t07/vXGM7BsWTHs2LEj5s6dK/DBhA0UFRVRUFAAFRUVFBYWChVm2Ka8vBzr1q1DfHx8s9u5X758SSjZBwMGDMCFCxfg5uYG4MO24/3798PS0pJkNAG9evXCH3/8IXSdLUeIAMDJyQl+fn44efIkgIbnsri4GCtXriS+MtzI398fVlZW0NPTw7BhwwAA165dQ2VlJWsmLQCAkpISlJWVScf4JAkJCdy7d49VBbiPiYuLY9GiRbh//z7pKF9s1KhRrBo5qaGhgZSUFGhoaKCsrAyZmZkCRbjS0lLivSpEISPV/tDCAtWm+Pr6YubMmXjy5Al4PB7OnDmDBw8eICIiotkPqKQ0rhAfP34cKSkprFohBhqOQty4cQNXrlxBeno6OnbsCBMTE1hZWZGOJiAgIAA2NjZITk5GTU0Nfv75Z2RmZuLly5e4fv066XgAwN+WePDgQaiqqrL6A2lWVhaKi4tRU1MjcJ3kLpWJEyfC2tqavzXawsKCv+r6MdJnsAFgxowZyMvLg6urK2t/3lu3boWjoyOysrJQV1eH4OBgZGZmIikpCVwul3S8Zr19+1Zo1xkbdvts374do0ePhoqKCt6+fQtra2uUlpbC0tISmzdvJh0PQMMRl4yMDOzevZv/fj5r1iwsXbqUVTfyGzduxLp16xAeHs7qUXmzZs1CaGhosw2O2cLY2Bj5+fmsaSb5OQzDkI4gYNasWViyZAkyMzMRFxcHfX199O/fn//4jRs3YGRkRDChaGSk2h8Ow7ZXM0X9H0VHR2PLli38G3Zzc3OsW7cO9vb2pKPxHT58GDNmzGj2MR8fHwQEBLRyItFVWlqKPXv2CPy8lyxZwpotoLKyskhJSYGenh7pKC3Kz8+Hs7Mz7t69Cw6Hw/+Q13hTTHpXxeXLl5Gbmwt3d3f4+fm12Idk2bJlrZxMmJycHBITE2Fqako6yifdvXsX27dvF3jdrFixgjWTK4CGoxkrVqzAyZMnUV5eLvQ46f+XTcXFxfGPEZmbm2PEiBGsGnvLVo3NBhvl5uaCYRhoampCQkJC4HtTU1NbO16z3NzcEBERAV1dXVhYWAj1HWLDdJqYmBisWLECGzduRP/+/YUysqEo15ScnBzS09NZs2OBx+PB19cXf/zxB7p164YdO3YINIiePHkyHB0diTYEF4WMVPtDCwsURYCioiIOHz6MsWPHClz38PDA8ePHUVJSQijZB7GxsS125z548CChVKJn+PDhWL16NUaMGEE6Sou+//57iIuLY//+/dDW1satW7dQXl4OLy8vbN++nb99mjQXFxfs2rWLFQ1OWzJgwAD873//Y80oUVG2ZMkSxMfHw8/PD7NmzcIvv/yCJ0+eYO/evdi2bRt/NxBJW7duxapVq4Su19fXY8aMGcSOtmVkZMDIyAhiYmLIyMj45PeamJi0UiphGzZs+OLv9fX1/ReTfLlPHbPjcDisOF4iJibG/7pp4YZtR/AaHT16FE5OTqxqDv01jh07hnHjxrE6vyhkpEQfLSxQbU5FRQWioqKQn58Pb29vKCsrIzU1FaqqqvzmX6RdvnwZP/zwA86fP88/XuDm5oYzZ84gNjYW+vr6RPNt2LABfn5+sLCwaLY799mzZwklE3T16tVPPs6Goxt5eXlYtGgRZsyYASMjI6FVOJIf6ht16dIFcXFxMDExgYKCAm7dugU9PT3ExcXBy8sLaWlppCOKjNu3b2PlypVYt25dsz9vNqwUiouL8xtiNlVeXg4VFRXW3HT06tULERERsLGxgby8PFJTU6Grq4vIyEgcO3aMFRM3VFVVsXHjRoGxb/X19fjhhx9w7949YufcxcTEUFpaChUVFYiJiQnsRGqKjTeZ1P/d5440WVtbt1KS9kFeXp5VPSKaIwoZKdFHeyxQbUpGRgZGjBgBBQUFFBYWYt68eVBWVsbZs2dRVFSEiIgI0hEBAI6OjggJCcH48eMRExODgwcP4rfffkN8fDz69OlDOh5CQkIQFhaGmTNnko7ySTY2NkLXmhZB2PCB+cWLF8jLyxMY+9T4IZ8tH+rr6+v5Y8m6dOmCp0+fQk9PDxoaGgLzxkmztbX95ONsWClUVFTE33//LZSVTT/vltYT3r9/D0lJyVZO07KXL1/yz4jLy8vzG18OHToUixcvJhmN7+LFixgxYgQUFRUxZcoU1NbWYurUqcjOzkZ8fDyxXAUFBfypFAUFBcRytHWPHz8Gh8NhzaJFI1EpHHC5XGzfvh33798Hh8OBgYEBfHx8WLNL7kuJwhqtKGSkRB8tLFBtiqenJ+bMmQN/f3+B7dKjRo3CtGnTCCYT9sMPP+DVq1cYOnQounbtCi6X2+yoTBJqamowePBg0jE+69WrVwJ/r62tRVpaGtauXcuaxmlz586FmZkZjh07xtpmfkZGRsjIyIC2tja+++47+Pv7Q1JSEvv27WPV6sbHfQtqa2tx584d3Lt3D7NnzyaUStD06dMhKSmJo0ePsu7nvWvXLgANha0DBw4IzLivr6/H1atXie+WakpbWxuFhYXQ0NCAoaEhTp48iYEDB+L333+HoqIi6XgAgP79++Ps2bNwcnKClJQUQkNDkZeXh/j4eKiqqhLL1XQy0sdTktiqvr4eQUFBOHnyZLNNZNkwUQVoONu+adMmBAYG4s2bNwAaegR4eXlh9erVAscQSKqoqEBoaCj/pt3Q0BBz585lzaSAw4cPw8XFBRMmTIC7uzsYhsGNGzdgZ2eHsLAw1n1moyjq8+hRCKpNUVBQQGpqKnR0dASaARUVFUFPT09g3F9r8/T0bPZ6VFQUzMzMoKOjw79GuvnTihUrICsri7Vr1xLN8U9dvXoVHh4eSElJIR0FnTp1Qnp6OmuKRs2Jjo5GVVUVJkyYgPz8fIwdOxbZ2dno3LkzTpw48dmdAqStX78eb968YcUoVBkZGaSlpbGyWWfj6n9RURHU1dUFpmtISkpCU1MTfn5++O6770hFFBAUFARxcXG4u7sjPj4eY8aMQX19Perq6rBjxw5WNOtsdP78eUycOBEGBgaIi4tDly5diOf5UiSnvjS1bt06HDhwAJ6enli7di1Wr16NwsJCnDt3DuvWrYO7uzvpiACAVatWITQ0FBs2bMCQIUPAMAyuX7+O9evXY/78+awoaicnJ8PBwQEdO3bEwIEDwTAMkpOT8fbtW8TExMDc3Jx0RBgYGGDBggXw8PAQuL5jxw7s379fpMZlsq35ZHNEISMl+mhhgWpTVFVVcfnyZZiZmQm8icbExMDV1RWPHj0ilu1TDZ+aYkPzp2XLliEiIgImJiYwMTEROidOuvDxOffv38eAAQP4q0kkff/995gzZw5rZtp/qZcvX0JJSYlVK+4tyc3NxcCBA1mxomllZYV169axulnn8OHDcebMGSgpKZGO8lWKi4uRnJwMHR0dolM3JkyY0Oz1mzdvQldXV6CocObMmdaKJeBLV83ZcjwHAHR0dLBr1y6MGTMGcnJyuHPnDv/azZs3cfToUdIRATSMiw4JCREqyPz222/46aef8OTJE0LJPhg2bBh0dXWxf/9+dOjQsDm5rq4O8+bNQ35+/mf7E7UGKSkpZGZmChXdc3NzYWRkRHQh6GuJwk27KGSkRB89CkG1KU5OTvDz88PJkycBNHxoKi4uxsqVK4nf2JE8b/u1MjIy0K9fPwDAvXv3BB5j043mx93OGYZBSUkJtm3bxppxf99//z08PDxw9+5dGBsbCxVp2LJa2OjRo0fgcDhQV1cnHeWLJSUlQVpamnQMAA1NWJctWwYfH59mf95saNYpSu9FTfXq1Qu9evUiHaPFreQODg6tnKRlH0/yEQWlpaX8caeysrL4+++/AQBjx45l1e65ly9fNntkSF9fnxXFTaBhx0LTogIAdOjQAT///DMsLCwIJvugZ8+eiI2NFSosxMbGomfPnoRSURT1f0ELC1Sbsn37dowePRoqKip4+/YtrK2tUVpaCktLS1ZsTxQVonLj0a9fv2a7nQ8aNIg1IzEXLVoEAPDz8xN6jC2rhXV1ddiwYQN27drF3+UhKysLNzc3+Pr6Ct0ck/LxSnFjISk5OZk1Nx5Tp04F0NBboxEbmnW2dBSrOWzakcTGsbeHDh0i8u/+E7W1tbC3t8fevXtZ0Rj4U9TV1VFSUoJevXpBV1eXv2X/9u3bkJKSIh2Pz9TUFLt37+b3LGm0e/du1hS05eXlUVxcLFQAefToEWvG9Xp5ecHd3R137tzB4MGDweFwkJiYiLCwMAQHB5OO91U0NDRY83uyJaKQkRJ9tLBAtSny8vJITExEXFwcUlNTwePxYG5uzsptybdv38apU6eabVJFavusqPm427mYmBi6du3KmtVrQDRWDpcuXYqzZ8/C398flpaWABp2Aaxfvx5lZWUICQkhnLDBxyvFYmJi0NPTg5+fH+zt7QmlEsTWDvxfOjKUTTuSPjf2lg0KCgpQV1eH3r17C1zPycmBhIQENDU1yQT7/yQkJHDv3j1WPncfc3Z2RmxsLL777jssW7YMP/74I0JDQ1FcXCx0Dp8kf39/jBkzBn/++ScsLS3B4XBw48YNPHr0iBUjUIGGAqerqyu2b98ucNPu4+ODH3/8kXQ8AMDixYvRrVs3BAYG8neZGhgY4MSJE3ByciKcrsGcOXMwd+7cz46u/nhnZ2sShYxU+0F7LFAUAcePH8esWbNgb2+PK1euwN7eHjk5OSgtLYWzszMrVsTYXvgQhZW4uro6SEtL486dOzAyMiIdp0UKCgo4fvw4Ro0aJXD90qVL+OGHH/hbkimqNXXv3h3+/v6sHntrbW2NuXPnCk0lOXz4MA4cOICEhAQywZrw8vKChIQEtm3bRjrKV7l58yZu3LgBXV1d1h0Ze/r0KX755RdkZ2eDYRgYGhrip59+gpqaGuloABomO/n4+CAkJAR1dXUAGopMixcvxrZt21i1A4TNJk6ciAsXLqBnz55wcXHB7NmzWTdaVBQyUu0HLSxQbU5sbCyCgoL4I5b09fWxfPlyVu1aMDExwcKFC7FkyRJ+Qx0tLS0sXLgQ3bt3x4YNG4jmE4XCBwB07doVN27cEFotZBMdHR2cOXOGNVtkm6OqqoqEhAQYGBgIXL9//z6srKzw4sULQsmEVVRUICoqCnl5efDx8YGysjJSU1OhqqrKmg9TDx8+REJCQrPb99etW0colbDc3Fzk5eXBysoKHTt25B/XYIvOnTvj1q1bAhNz2EZeXh6pqanNNqCzsLBARUUFmWBNuLm5ISIiArq6urCwsECnTp0EHmfT0Re2E4WCdn19PRITE2FsbAxpaWnk5eWBYRjo6upCRkaGdDyRU15ejsOHDyMsLAz37t3DiBEj4OrqCicnJ9YcLRCFjFT7QAsLVJuye/dueHh4YNKkSfwt3Tdv3kRUVBR27NiBpUuXEk7YoFOnTsjMzISmpia6dOmC+Ph4GBsb4/79+7C1tUVJSQnRfGwvfDQShZW4Q4cO4dSpUzh8+DCUlZVJx2mWn58fsrOzcejQIf5K1vv37+Hq6orevXvD19eXcMIGGRkZsLOzg6KiIgoLC/HgwQNoa2tj7dq1KCoqQkREBOmI2L9/PxYvXowuXbqgW7duAjfqHA4HqampBNM1KC8vx5QpUxAfHw8Oh4OcnBxoa2vD1dUVioqKCAwMJB0RgGiMvVVQUEBCQgLMzMwErqekpMDGxgavX78mlOyDT00kYsMUoqYePHiA//3vfwILA25ubqwa3yoKBW1paWncv3+fP2KWTb50KkF+fv6/nOTrpaWl4eDBgzhw4ABkZWUxY8YM/PTTT6z6vyAKGam2i/ZYoNqUrVu3IigoSKCA4O7ujiFDhmDz5s2sKSwoKyvzP3D26NED9+7dg7GxMSoqKlBdXU04HZCXl4cxY8YAaBgJVVVVBQ6HAw8PD9ja2rKmsFBTU4MDBw7gypUrrF2J27VrF3Jzc6GmpgYNDQ2hjGy40UxLS0NsbCzU1dX5OyvS09NRU1MDOzs7gaaJJI/BeHp6wsXFBf7+/gINyEaNGoVp06YRy9XUpk2bsHnzZqxYsYJ0lBZ5eHhAQkICxcXFArtUpk6dCg8PD9YUFt69e4d9+/bhzz//ZO3Y22HDhmHr1q04duwYxMXFATSsGG/duhVDhw4lnK6BqDTjjYqKwo8//ggLCwuBhQEjIyMcPXoUkydPJpywwaxZsxAaGsrqgraxsTHy8/NZWVgoLCyEhoYGpk2bBhUVFdJxvlhJSQliYmIQExMDcXFxjB49GpmZmTA0NIS/vz8r+oCIQkaqbaOFBapNqayshKOjo9B1e3t7Vn3QHzZsGK5cuQJjY2NMmTIFy5YtQ1xcHK5cuQI7OzvS8Vhf+Gh07949mJubA2jYft4UW7Z0jx8/nnSEz1JUVBQax8rGcV+3b9/G3r17ha736NEDpaWlBBIJe/XqFWtugFoSExOD6OhooZGivXv3RlFREaFUwkRh7K2/vz+srKygp6eHYcOGAQCuXbuGyspKVu0EANh/9OXnn3/GqlWrhCbo+Pr6YsWKFax5XYlCQXvz5s3w9vbGxo0b0b9/f6GM8vLyhJI1HLU8dOgQduzYgVGjRmHu3LkYPXo0xMTEiGVqSW1tLc6fP49Dhw4hJiYGJiYm8PDwwPTp0/nF7ePHj2Px4sXEbtpFISPVftCjEFSbMn36dPTr1w8+Pj4C17dv346UlBQcO3aMUDJBL1++xLt376CmpgYej4ft27cjMTERurq6WLt2LZSUlIjmmzZtGiwsLODp6YnNmzcjODgYTk5OuHLlCszNzYmuWmdkZMDIyIiVH0Kof5eqqiouX74MMzMz/hEdbW1txMTEwNXVFY8ePSIdEa6urhgwYAB/zCgbycnJITU1Fb179xZ4Hm/fvg1HR0eUl5eTjvhVHj9+DDU1NWLvCU+fPsXu3buRnp6Ojh07wsTEBEuXLmXN0SdROfoiIyODjIwMoX4VOTk5MDU1ZU1RWxSOljR9LTQtHpEee9vUkydPEBYWhrCwMFRVVWHWrFn843ds0aVLF/B4PPz444+YP38+v9DZ1KtXr2Bubk5sIpAoZKTaD1pYoNqUTZs2Yfv27RgyZIjAVsrr16/Dy8tLoErv7u5OJGNdXR2OHDkCBwcHdOvWjUiGz2Fz4UNcXBwlJSVQUVHh3wx17tyZWJ4vlZKSwj83bGhoKHQmm6S3b9+CYRh+Y6+ioiKcPXsWhoaGrBnjCAALFizAixcvcPLkSSgrKyMjIwPi4uIYP348rKyssHPnTiK5ms6zr6qqwo4dOzBmzBgYGxsLbd8n9b7T1JgxY2Bubo6NGzdCTk4OGRkZ0NDQwA8//AAej4eoqCjSEb+KvLw87ty588Vnt9ubWbNm4fnz5zhw4AAMDAwECnIeHh7IzMwkHREAMHr0aEyePBkuLi4C1w8dOoTjx48jOjqaUDLRw+VyP/m4tbV1KyX5MlwuF+vXr8fVq1dRVlZGfHGlUWRkJCZPnsyqEdYfE4WMVPtBCwtUm/Kl5wk5HA7RxkAyMjK4f/8+NDQ0iGUQVZ07d8bFixfx3XffQUxMDM+ePUPXrl1Jx2rR8+fP8cMPPyAhIQGKiopgGAZ///03hg8fjuPHj7Miu729PSZMmIBFixahoqICenp6kJSURFlZGXbs2IHFixeTjgig4ahT45nR169fQ01NDaWlpbC0tMTFixeFtvu2FlF532mUlZUFGxsb9O/fH3FxcRg3bhwyMzPx8uVLXL9+ndVTGJrTdNcFCRUVFQgNDRUoHM6dOxcKCgpE8nysW7duiI6OhqmpqcBzVVBQAGNjY7x584ZYtvPnz/O/fvr0KdatW4cpU6Zg0KBBABoWBk6dOoUNGzawbhcQ24+WiIJ3794hKioKBw8exM2bNzFu3DiEh4fTcZgUJaJoYYGiCBg+fDiWLVvG2vP3TXcFNFVeXg4VFRWi2ygXLFiAiIgIdO/eHcXFxVBXV+c3TfsYG27ipk6diry8PERGRvIb5WVlZWH27NnQ1dVlxfGcLl26gMvlom/fvjhw4AD+97//IS0tDadPn8a6detw//590hEFxMXFITU1FTweD+bm5qwaJSsqSktLsWfPHqSkpPCfxyVLlqB79+6ko301koWF5ORkODg4oGPHjhg4cCAYhkFycjLevn2LmJgYfg8Ykth89OVLj6+wZfs+IDpHS65du4a9e/ciPz8fp06dQo8ePRAZGQktLS3ijUX/+usvhIaG4sSJE9DR0cHcuXMxffp01uxUaOr27ds4deoUiouLUVNTI/AYyWOhTYlCRqp9oM0bqTatvr4ed+/ehYaGBqt+Yf3000/w8vLC48ePm22sZGJiQihZg5bqje/fv4ekpGQrpxG0b98+TJgwAbm5uXB3d8f8+fMFJgSwzeXLl/Hnn38KdN83NDTEL7/8wppjBtXV1fznMCYmBhMmTICYmBgGDRrEqmZ+jWxtbWFra0s6hkjr1q0ba6a7iDIPDw+MGzcO+/fvR4cODR+p6urqMG/ePCxfvhxXr14lnBCwsrJCREQENm7cCKDhJp3H4yEgIOCT/QJaA4/HI/rv/xOiMFXl9OnTmDlzJqZPn47U1FS8f/8eAPD69Wts2bIFFy9eJJatb9++eP78OaZNm4Zr164R/7zzKcePH8esWbNgb2+PK1euwN7eHjk5OSgtLYWzszPpeABEIyPVftAdC1Sbsnz5chgbG8PV1RX19fWwsrJCUlISZGRk8Mcff8DGxoZ0RADNr9JwOBzijZUaz4p7eHhg48aNkJWV5T9WX1+Pq1evorCwEGlpaUTyfczFxQW7du36bGGBZHM3OTk5XLt2TaihUlpaGqytrVFZWdnqmT5mYmKCefPmwdnZGUZGRrh8+TIsLS2RkpKCMWPGsGbiAtDQw4DL5Ta7MsOG/gWTJk2ChYUFVq5cKXA9ICAAt27dwqlTpwgl++Dy5cuQlZXlr1r+8ssv2L9/P7/gxaYi7JcguWOhY8eOSEtLg76+vsD1rKwsWFhYsKLhYFs7+kIam4+WNDIzM4OHhwdmzZolkPHOnTtwdHQk+p4uJiaGTp06oUOHDp88OvLy5ctWTNU8ExMTLFy4EEuWLOE/j1paWli4cCG6d+/OiuKsKGSk2g+6Y4FqU6KiojBjxgwAwO+//47CwkJkZ2cjIiICq1evxvXr1wknbMDWzrxBQUEAGnYshISECBwxkJSUhKamJkJCQkjFE3Lo0KEv+j5DQ0Nizd1sbW2xbNkyHDt2DGpqagAaumF7eHiwYrQoAKxbtw7Tpk3jZ2psfBoTE8OqJpNpaWkYPXo0qqurUVVVBWVlZZSVlUFGRgYqKiqsKCxwuVz4+voKXXd0dMT27dsJJBLm4+OD//73vwCAu3fvwtPTE15eXoiLi4Onp+cXv67YguS5dnl5eRQXFwsVFh49esSanVSGhobIyMjAnj17IC4ujqqqKkyYMIGVR1+4XC62b9/O71dhYGAAHx8f/ihPNqiqquI3um2qrKyMNb0BHjx4ACsrK6Hr8vLyqKioaP1ATYjS+0teXh7GjBkDAJCSkkJVVRU4HA48PDxga2vLipt2UchItR+0sEC1KWVlZfxJCxcvXsTkyZPRp08fuLq6CnRuJ42tTRsbCx7Dhw/HmTNnRG7lsiUkN2bt3r0bTk5O0NTURM+ePcHhcFBcXAxjY2McPnyYWK6mJk2ahKFDh6KkpASmpqb863Z2dgJbKUmP9fPw8MD333+PPXv2QFFRETdv3oSEhARmzJiBZcuWEcn0sTdv3jR7XEhCQoIVu1OAhte5oaEhgIYt099//z22bNmC1NRUjB49mnC6r0fy9T116lS4urpi+/btGDx4MDgcDhITE+Hj44Mff/yRWK6miouL0bNnz2ZvMIqLi9GrVy8CqYQdPnwYLi4umDBhAtzd3cEwDG7cuAE7OzuEhYVh2rRppCMCYPfRkkbdu3dHbm4uNDU1Ba4nJiYSn54ye/bsr/r+Y8eOYdy4cUSa8yorK+P169cAgB49euDevXswNjZGRUUFK3YjAaKRkWpHGIpqQ3r16sVER0czdXV1TM+ePZnff/+dYRiGuXfvHqOoqEg4naDs7GxmyZIljK2tLWNnZ8csWbKEyc7OJh2rWXV1dUxaWhrz8uVL0lH+EVlZWSYvL49ohpiYGGbXrl1McHAwc+XKFaJZ/ik5OTmiz6OCggL/NaKgoMBkZWUxDMMwN2/eZPT09IjlasrCwoLZsGGD0HVfX1/G3NycQCJhSkpKTGZmJsMwDDNkyBBm7969DMMwTEFBAdOxY0eS0fhqa2sZcXFx5u7du5/93uLiYqaurq4VUgl7//494+7uzkhKSjJiYmKMmJgYIyUlxSxfvpx59+4dkUwfExMTY549eyZ0vaysjBETEyOQqHn6+vrMjh07hK4HBgYy+vr6BBI1LzMzk+natSvj6OjISEpKMpMmTWIMDAwYVVVVJjc3l3Q8hmEY5r///S9jaGjI3Lx5k5GTk2OuXbvGHD58mOnatSvzv//9j3S8r0Ly986PP/7IBAYGMgzDMJs2bWK6du3KzJs3j9HQ0GCcnZ2JZPqYKGSk2g+6Y4FqU1xcXDBlyhR0794dHA4HI0eOBNDQgfjjraokRUVF4ccff4SFhQV/2/nNmzdhZGSEo0ePYvLkyUTziUqvClEycuRI/v9HUcUQbskjISHB3/auqqrKb56moKCA4uJiotkarV27FhMnTkReXh6/wWRsbCyOHTvGiv4KADB06FB4enpiyJAhuHXrFk6cOAEAePjwIdTV1Qmna9ChQwdoaGh8Ub+Znj17tkIiYfX19UhKSoKvry+2bt2KvLw8MAwDXV3dZrfKk8K0MAbxzZs3kJaWJpCoefn5+fj++++Fro8bNw7/+c9/CCRqnigcLfn555/5Y43fvXsHKysrSElJwdvbG0uXLiUd76uQ/L2ze/duvHv3DgCwatUqSEhIIDExERMmTMDatWuJ5WpKFDJS7Qdt3ki1OVFRUXj06BEmT57M/5AcHh4ORUVFODk5EU7XQFtbGzNmzICfn5/AdV9fX0RGRhIfk9ijRw/89ttvsLCwwLlz57BkyRLEx8cjIiIC8fHxrOlV8aVIz7mPjY1FbGwsnj9/LtQF/eDBg0Qy/ROkn0d7e3vMmTMH06ZNw6JFi5CWlgZ3d3dERkbi1atX+Ouvv4jk+tiFCxewZcsW3LlzBx07doSJiQl8fX1hbW1NOhqAhu3vP/30Ex49egR3d3e4uroCaDhqUl9fz5pjY4cOHcKpU6dw+PBhKCsrk47TLGlpady/fx9aWlqkowjx9PQEAAQHB2P+/PkCxY76+nr89ddfEBcXZ837ua6uLnx8fLBw4UKB63v37sX27duRk5NDKJnoqq6uRlZWFng8HgwNDQUaMosK0r93KIr6crSwQLVLxsbGuHjxIrGVLhkZGWRkZEBXV1fgek5ODkxNTYmfi5OWlkZubi7U1dWxYMECyMjIYOfOnSgoKICpqSlrzop/KXl5eWLNGzds2AA/Pz9YWFjwd9I0dfbs2VbP9E+R/oCXnJyM169fY/jw4Xjx4gVmz56NxMRE6Orq4tChQwL9Iaj/u23btmHRokVQVFQk8u+bmZkhNzcXtbW10NDQEDpjnZqaSiRXUwMGDMC2bdtY04i1qcbz/lwuF5aWlgK9Pxqb8Xp7e6N3796kIgrYs2cPli9fjrlz5wr0qwgLC0NwcLBQwYEN6uvr4enpidjYWJiZmWHHjh3o2rUr6VhtSmv/3vmazzfy8vL/YpKWiUJGqn2iRyGodqmwsBC1tbXE/n0bGxtcu3ZNqLCQmJjIiu7XqqqqyMrKQvfu3XH58mX8+uuvABpWP5pOihAVJOunISEhCAsLw8yZM4llaCssLCz4X3ft2pXoLPbPqampaXaHClsa5X2JLVu2YMqUKcQKC+PHjyfy736NzZs3w9vbGxs3bkT//v2Fih8kP9THx8cDaDgiGBwczPobjMWLF6Nbt24IDAzEyZMnAQAGBgY4ceIE8d2GFRUV8PLyQnR0NMLCwjBixAgAwLJly3D27FnMnz8fly9fhpubG44fP040K9AwuWLbtm0t7pQjvSuSzRQVFb940gyp0eCikJFqn2hhgaJayfnz5/lfjxs3DitWrEBKSgoGDRoEoKHHwqlTp1gxGkhUelXMnTsXwcHBQmPdqqqq4Obmxj9mkJWVxR/12NpqamowePBgIv/2t0ZyrJ+oyMnJwdy5c3Hjxg2B643n3EXpQx7pDY3Nje1kG0dHRwAN7+lNXx9s+nmL0ng/Z2dngUk0bLFkyRKUl5dj8eLFOHToEEaMGIGoqCjs27cPiYmJGDhwICZOnMjvq0LavHnzwOVyMXPmzGZ3ylEtayzIAQ2LUCtXrsScOXP4/bCSkpIQHh6OrVu3koooEhmp9okehaDaJRJbur90RB9bPoyKQq8KcXFxlJSUQEVFReB649jRuro6Qsk+WLFiBWRlZdtEEyXSRyGePXsGb29v/ircx7++2PC6GTJkCDp06ICVK1c2+4FelI5rkP55Aw0rxVFRUcjLy4OPjw+UlZWRmpoKVVVV9OjRg1iuRlwu95OPs6GvhqisXmtra+P27dvo3LmzwPWKigqYm5sTzdm5c2fcuHEDWlpasLS0RH5+PiorK7F27VqsX78eAJCXlwdTU1O8efOGWM5GioqKuHDhAoYMGUI6yv+ZkZERLl26ROToqp2dHebNmyc0Ovbo0aPYt28fEhISWj3Tx0QhI9V+0B0LFNVKPv4wx3aTJk0Suva186f/LZWVlWAYBgzD4PXr1wKdzevr63Hx4kWhYgMp7969w759+/Dnn3/CxMQEEhISAo/v2LGDULIPRGHnBwDMmTMHxcXFWLt2LWtX4e7cuYOUlBRW7ewRVRkZGRgxYgQUFBRQWFiI+fPnQ1lZGWfPnkVRUREiIiJIR4SWlhZ69uwp9H+RYRg8evSIUCpBorJ6XVhY2Gxx8P3793jy5AmBRB9ISkqisrISkpKSuH79OmJiYqCsrIyhQ4fyv+fOnTv8FWPSlJSUWNvwtNGcOXMwd+5cWFlZffL77t2710qJhCUlJSEkJETouoWFBebNm0cgkTBRyEi1H7SwQFEs1ppNJnft2oUFCxZAWlr6s13h3d3d//U8n9J4vpDD4aBPnz5Cj3M4HFYcKQEabo769esHQPgDEls+4IeHh2Pbtm1ChYW3b98iIiKCX1gg1ey0UWJiIq5du8Z/PtnI0NAQZWVlpGO0CZ6enpgzZw78/f0F/m+OGjUK06ZNI5jsAy0trWZ3Tb18+RJaWlqs2EVz6dIlVq9eNz0mGB0dDQUFBf7f6+vrERsbC01NTQLJPnBwcICLiwu8vb35N+wvX74UyC4hIQE3NzdSEQVs3LgR69atQ3h4OKtGnzb1+vVr2Nvbo2fPnnBxccHs2bNZsQupqZ49eyIkJASBgYEC1/fu3Uv892EjUchItR/0KATVLrFhi++XaM2cWlpaSE5ORufOnT85Oo3D4RDfOsvlcsEwDGxtbXH69GmBlRlJSUloaGgQXVn/Jx4/fgw1NbUvPjLzLTTu/FBSUkJOTo5AN/P6+nr8/vvvWLlyJZ4+fdpqmT7F0NAQR44cgZmZGekoLYqLi8OaNWuwZcsWGBsbC+1QYXsDvaZIv08qKCggNTUVOjo6AlmKioqgp6fHn91OkpiYGJ49eyY0CaCoqAiGhoaoqqoilOwDLS0tXLx4EQYGBqSjNKvxPY/D4Qgdb5KQkICmpiYCAwMxduxYEvEAAK9evcLSpUsRHR2Nly9ftvh9bDnKaGZmhry8PDAMA01NTaH3ITZMVAGA8vJyHD58GGFhYbh37x5GjBgBV1dXODk5CWUm4eLFi5g4cSJ0dHQE+mHl5eXh9OnTGD16NOGEopGRaj/ojgWqXdq7dy9UVVVJx2CVgoKCZr9mG2VlZTx8+BBdunTB7NmzMWLECKGVdlFkaGjY6iMxRWnnBwDs3LkTK1euxN69e4mvYLaksVv8x+MH2dTM70sNGzYMHTt2JPbvS0tLNztW7cGDB8RH+nl6egJoeI2sXbtWYFW4vr4ef/31F2t21rB99brxmKCWlhZu376NLl26EE4kTElJCUeOHCEd44uJwkQVoKF3xbJly7Bs2TKkpaXh4MGDmDlzJmRlZTFjxgz89NNPRMehjh49Gjk5OdizZw/u378PhmHg5OSERYsWsWY3gChkpNoPumOBalNa2sLP4XAgLS0NXV1dWFlZiczIRNIrhmwkKyuLjIwMaGtrQ1xcHKWlpcRvMr4FEj9rUdj5oaSkJHBkpKqqCnV1dZCRkRFa0frUSmJrEYVmfi3NQOdwOJCSkoKkpGQrJ2reggUL8OLFC5w8eRLKysrIyMiAuLg4xo8fDysrK+zcuZNYtuHDhwNo+HlbWloKPGeSkpLQ1NSEt7c30ZuiRqKyek21XyUlJfxjd0+ePMHEiRNRUlKC+Ph4+Pv7w8PDg0iumpqaFt8Py8rKWFEEE4WMVPtBdyxQbUpQUBBevHiB6upqKCkpgWEYVFRUQEZGBrKysnj+/Dm0tbURHx9PK7kfaVyB+xIkGw5aWlpi/Pjx6N+/PxiGgbu7e4urqo29AShhorLzg+TN4z/BhsLB53xuBrq6ujrmzJkDX1/fVj2a87Ht27dj9OjRUFFRwdu3b2FtbY3S0lJYWlpi8+bNxHIBH8a9ubi4IDg4+LNHXEgcdWokKqvXfn5+n3x83bp1rZTk00QlJ9Bw09ncJJBevXoRSvRBbW0tzp8/j0OHDiEmJgYmJibw8PDA9OnT+b+Ljh8/jsWLFxMrLEyZMgVnzpwRet0+e/YMdnZ2RBtLNhKFjFT7QXcsUG3KsWPHsG/fPhw4cAA6OjoAgNzcXCxcuBALFizAkCFD8MMPP6Bbt26IiooinPbzWnMVu3EFrlFKSgrq6+uhp6cHAHj48CHExcXRv39/xMXF/et5WvLs2TMEBQUhLy8PZ86cgYODA6SkpJr93rNnz7Zyun+utXcstNWdHwCwbds2LFq0CIqKisQyVFdXo7i4GDU1NQLXTUxMCCX6ICIiAqtXr8acOXMwcOBAMAyD27dvIzw8HGvWrMGLFy+wfft2+Pj44D//+Q/puIiLi0Nqaip4PB7Mzc35x01Eiby8fKsfdRI1H/dOqa2tRUFBATp06AAdHR3W7KwQhZwPHz6Eq6srbty4IXCdTUeyunTpAh6Phx9//BHz589v9ujQq1evYG5uTux45nfffQdDQ0McOnSIf62kpAS2trbo27cvKz5HikJGqv2ghQWqTdHR0cHp06eFfkGlpaVh4sSJyM/Px40bN/jb7NiO1FGIHTt2ICEhAeHh4VBSUgLQ8AvexcUFw4YNg5eXV6vmaUnThpOirrV/1iNHjsSzZ8/Qv39/hIeHY+rUqW1m5wfJm7gXL17AxcUFly5davZxNnygt7Ozw8KFCzFlyhSB6ydPnsTevXsRGxuLyMhIbN68GdnZ2YRSti30WNs/U1lZiTlz5sDZ2RkzZ84kHadFbMs5ZMgQdOjQAStXrmx2xKipqSmhZB9ERkZi8uTJAuOi2aa8vBxWVlawt7dHUFAQnjx5AltbW5iamuL48eNEd3SJUkaq/aBHIag2paSkBHV1dULX6+rqUFpaCgBQU1PD69evWzvaP0KqyWRgYCBiYmL4RQWg4az7pk2bYG9vz5rCApubTH6t1h49efjwYf7ODw6Hg7///psVXfa/BZL18uXLl+PVq1e4efMmhg8fjrNnz+LZs2fYtGmT0DgwUlqae25mZoakpCQAwNChQ1FcXNza0YTExsYiNja22e3colbwak1Njzp93KfkY2zoTdISeXl5+Pn5YezYsay4YW8J23LeuXMHKSkp0NfXJx2lRWx4nj6nc+fOiI6OxtChQwEAFy5cgLm5OY4cOcKaG3ZRyEi1H7SwQLUpw4cPx8KFC3HgwAH+dsW0tDQsXrwYtra2AIC7d+9+cpziv6WlxpLNcXd3BwBis9orKyvx7Nkz9O3bV+D68+fPiRdldu3ahQULFkBaWvqzz2nj8ygKWvtmWFVVFdu2bQPQsPMjMjKyTez8IC0uLg6//fYbBgwYADExMWhoaGDkyJGQl5fH1q1bMWbMGNIRoa6ujtDQUP7Pv1FoaCi/90x5eblAYZGEDRs2wM/PDxYWFs2uulItCwoK4p9TDwoKEunnrqKiAn///TfpGJ/FppyGhoYoKysjHeOzbt++jVOnTjV7bOzMmTOEUglSV1fHlStXMHToUIwcORKRkZGsez2JQkaqfaBHIag2pbS0FDNnzkRsbCy/83VdXR3s7OwQGRkJVVVVxMfHo7a2Fvb29q2a7eNiRmOTycZz4I1NJlVUVJCfn9+q2T42a9YscLlcBAYGCsxF9vHxgZWVFcLDw4lla3r84VMFIg6HQ/x5BIC5c+ciODhYqDFiVVUV3Nzc+Kuujx49gpqamshMLGEzktvO5eXlkZGRAU1NTWhqauLIkSMYMmQICgoK0LdvX1RXV7d6po+dP38ekydPhr6+PgYMGAAOh4Pbt28jOzsbUVFRGDt2LPbs2YOcnByijVq7d+8Of39/kVjZ/Bx6FOLzPi4UMwyDkpISREZGwsrKCseOHSOUTJAo5IyLi8OaNWuwZcsWGBsbC00C+Vyz0dZw/PhxzJo1C/b29rhy5Qrs7e2Rk5OD0tJSODs7C/QMaE0t7fCprq6GlJSUwO9oUrt9RCEj1T7RwgLVJmVnZ+Phw4dgGAb6+vr8BoRscfToUfz6668IDQ3lZ3vw4AHmz5+PhQsXYvr06UTzVVdXw9vbGwcPHkRtbS0AoEOHDnB1dUVAQAA6depENJ8oERcXR0lJCVRUVASul5WVoVu3bs0e3WkNbXXnB0D2Jm7AgAHYtGkTHBwcMH78eP5OhV27diEqKgp5eXmtnqk5hYWFCAkJEXifXLhwITQ1NUlH4+vcuTNu3brFb8Qrykj2/Zg+fTpsbGxgbW2NPn36tPq//6U+LhSLiYmha9eusLW1xapVq1gztUYUcjZugf/45pNNzRtNTEywcOFCLFmyhP+eraWlhYULF6J79+7YsGEDkVxfs3Aye/bsfzFJy0QhI9U+0cIC1aZwuVyRGPemo6ODqKgooe7SKSkpmDRpEmt6B1RVVfHnn+vq6goVFEiOUGO7yspKMAwDJSUl5OTkCExcqK+vx++//46VK1fi6dOnRPKJ2s6Pr0GysHDkyBHU1tZizpw5SEtLg4ODA8rLyyEpKYmwsDBMnTq11TOJqhUrVkBWVhZr164lHeX/jOT/yYULF4LL5eLhw4fo1q0brK2tYW1tDRsbG1afwaf+OS6X+8nH2fA5qVOnTsjMzISmpia6dOmC+Ph4GBsb4/79+7C1tRWJBtsURQmiPRaoNmXkyJHo1q0bpk2bhhkzZsDIyIh0pGaVlJTwdwI0VV9fj2fPnhFI1LxOnTp9cjyeoaEh0RFq9fX1CAsLa7G5G8mxmIqKiuBwOOBwOM2uEnI4HGIrMoBg40u2FLK+lWHDhrU44eLf1nS3kZmZGQoLC5GdnY1evXqhS5cuRDI1p6KiArdu3Wr2dTNr1ixCqQBPT0/+1zweD/v27cOff/4JExMToe3cJI9pAA3H7KSlpXHnzp3P/q7JysqCmppaKyUTtHfvXgANRwUTEhKQkJCA4OBgLFmyBCoqKqy+gePxeLhw4QJCQ0Nx7tw50nFaxLacbCgcfI6ysjK/Z1OPHj1w7949GBsbo6KighVHxhrl5eXh0KFDyMvLQ3BwMFRUVHD58mX07NlTqA8VKaKQkWofaGGBalOePn2K48eP49ixY/D394eRkRFmzJiBadOmQV1dnXQ8Pjs7O8yfPx+hoaHo378/OBwOkpOTsXDhQpGa0U56w9OyZcsQFhaGMWPGwMjIiFXNiuLj48EwDGxtbXH69GkoKyvzH5OUlISGhgaxGw1RVVlZ2ex1DocDKSkpSEpKAgAuXrzYmrE+SUZGBubm5qRjCPj9998xffp0VFVVQU5OTuB1w+FwiBYW0tLSBP7eODr43r17BNJ8WocOHaChofFF28obm2KSJCcnByUlJSgpKUFRUREdOnRAt27dSMdqVk5ODg4ePIjw8HC8evUKDg4OpCM1i205MzIyvuj7PrVg0FqGDRuGK1euwNjYGFOmTMGyZcsQFxeHK1euwM7OjnQ8AA07P0aNGoUhQ4bg6tWr2Lx5M1RUVJCRkYEDBw4gKiqKdESRyEi1H/QoBNVmFRQU4OjRozh27Biys7NhZWVFdAW7qRcvXmD27Nm4fPmyQJNJBwcHhIWFCZ3HZyvSDcm6dOmCiIgIjB49msi/35Kmo95cXFywa9cuVpy7bQmbd340JSYm9snikbq6OubMmQNfX19ix3MYhkFUVBTi4+ObfS7Z0Om8T58+GD16NLZs2QIZGRnScUTaoUOHcOrUKRw+fFigeMgmK1asAJfLRXp6OoyMjGBlZQVra2tYWVnxmwezwdu3b3Hy5EmEhobi5s2bqK+vR1BQEObOnQtZWVnS8fjYnLPxPfJTH+3Z0mPh5cuXePfuHdTU1MDj8bB9+3YkJiZCV1cXa9euJT6VBgAsLS0xefJkeHp6CnzeuX37NsaPH48nT56QjigSGan2gxYWqDatvr4ely5dwtq1a5GRkcGKX6YMw6C4uBhdu3bFkydPcP/+fTAMAwMDA1Y31moO6cKCmpoaEhISWPe8ycrKIiMjA9ra2hAXF0dpaalAjwW2Wbp0KX/nR3Nj/YKCggglExQREYHVq1djzpw5GDhwIBiGwe3btxEeHo41a9bgxYsX2L59O3x8fPCf//yHSEZ3d3fs27cPw4cPh6qqqtBzSarTeVOdOnXC3bt3WT+h4EsnqpBkZmaG3Nxc1NbWQkNDQ6gPTWpqKqFkHzQ2F/Tw8ICTkxMMDAxIRxJw69YtHDhwACdOnECfPn0wY8YM/PDDD1BXV0d6ejoMDQ1JRwQgGjmLioq+6Ps0NDT+5SRtg6ysLH9EedPPO4WFhdDX18e7d+9IRxSJjFT7QY9CUG3S9evXceTIEURFReHdu3cYN24ctmzZQjoWgIbCQu/evZGZmYnevXujd+/epCOJLC8vLwQHB2P37t2sOgZhaWmJ8ePHo3///mAYBu7u7i2e+WfDzdHx48dx8uRJ1u38+Fh4eDgCAwMxZcoU/rVx48bB2NgYe/fuRWxsLHr16oXNmzcTKywcPnwYZ86cYfVz6eDggOTkZNYXFsLDw7Ft2zahwsLbt28RERHBitfO+PHjSUf4rLS0NHC5XCQkJCAwMBDi4uL85o02NjbECw2DBw+Gm5sbbt26xboJTk2JQs6vLRj89NNP8PPza7X+Ly0dZ2sOG0ZiKioqoqSkRKjBcVpaGnr06EEolSBRyEi1H7SwQLUp//nPf3Ds2DE8efIEI0eOxM6dOzF+/HhWbfcVExND7969UV5eLvJFBRI38xMmTBD4e1xcHC5duoS+ffsKNXcjte388OHDCAoKQl5eHjgcDv7++29WrxpISkpCV1eXdIzPSkpKQkhIiNB1MzMzJCUlAQCGDh2K4uLi1o7Gp6CgwPob9jFjxsDHxwdZWVnNzrgfN24coWQNGieqMAyD169fQ1pamv9YfX09Ll68yJrjYr6+vqQjfJapqSlMTU35Y2PT09Oxc+dOuLu7g8fjEd/JZ2tri9DQUDx//hwzZ86Eg4MDqwrFjUQl59c4fPgwvL29W62w0NjU+EuQ/n8JANOmTcOKFStw6tQpcDgc8Hg8XL9+Hd7e3kR70TQlChmp9oMWFqg2JSEhAd7e3pg6dSqrOrB/zN/fHz4+PtizZw9rJ1d8CRInqRQUFAT+7uzs3OoZPkdVVRXbtm0D0DDWMTIyEp07dyacqmVs3fnxMXV1dYSGhvKf20ahoaH85njl5eVEz+auX78eGzZswMGDB4lNpvic+fPnAwD8/PyEHmPD+Wu2T1T5WEVFBaKiopCXlwcfHx8oKysjNTUVqqqqrFkxTEtL40+EuHbtGiorK9GvXz8MHz6cdDTExMTg0aNHOHToEBYvXoy3b9/yx7Ky6f1IVHJ+jdb+HR4fH8//urCwECtXrsScOXNgaWkJoKF4HB4ejq1bt7ZqrpZs3rwZc+bMQY8ePcAwDAwNDVFfX49p06ZhzZo1pOMBEI2MVPtBeyxQbVJWVhaKi4tRU1MjcJ30SlwjJSUlVFdXo66uDpKSkkI3IC9fviSUTNijR4/A4XCanarx6NEjqKmpQVxcnECyhi3RPB6Pf665sLAQ586dg4GBAfHu3GzX3M4PZWVlVu38+Nj58+cxefJk6OvrY8CAAeBwOLh9+zays7MRFRWFsWPHYs+ePcjJySE2irC6uhoTJkzA9evXoampKfRcsuHMPdtxuVyRmaiSkZGBESNGQEFBAYWFhXjw4AG0tbWxdu1aFBUVISIignREKCkp4c2bNzA1NeUff7CysmLFVvPmXLlyBQcPHsS5c+fQs2dPTJo0CZMmTWLddBVRyfkpJPsk2dnZYd68efjxxx8Frh89ehT79u1DQkJCq2dqSV5eHtLS0sDj8WBmZsbK3aaikJFq+2hhgWpTCgoK4OzsjIyMDIHOyI2rCaRX4hqFh4d/8vHZs2e3UpLm1dXVYcOGDdi1axfevHkDoKFBkJubG3x9fYVulkixt7fHhAkTsGjRIlRUVEBfXx8SEhIoKyvDjh07sHjxYiK5du3ahQULFkBaWhq7du365Pc2bk9ubS4uLl/8vWxoONiosLAQISEhePjwIRiGgb6+PhYuXAhNTU3S0QAAU6ZMQXx8PCZNmtRs80ZR2DrPFkVFRejZsyexCR9fYsSIETA3N4e/v7/ATdqNGzcwbdo0FBYWko6IP/7444sKCY8fP4aamhprnu9Xr17h8OHDOHjwIGuaLzdHVHI2h2RhQUZGBunp6UI3wA8fPkS/fv1QXV3d6plaUlNTg4KCAujo6KBDB3Zu9haFjFTbRwsLVJvy/fffQ1xcHPv374e2tjZu3bqF8vJyeHl5Yfv27Rg2bBjpiCJh0aJFOHv2LPz8/AS2KK5fvx5OTk7NnnMnoUuXLuByuejbty8OHDiA//3vf0hLS8Pp06exbt063L9/n0guLS0tJCcno3PnzkINlZricDjIz89vxWTNozs/vp1OnTohOjoaQ4cOJR1FgCgUu1pSXV3d7A40ExMTQok+UFBQQGpqKnR0dARu0oqKiqCnp8fq3iofk5eXx507d1jZIyQ1NZW/E6C1Gw5+DVHJ2YhkYUFPTw9jx45FYGCgwHUvLy/88ccfePDgQatn+lh1dTXc3Nz4i0EPHz6EtrY23N3doaamhpUrVxJOKBoZqXaEoag2pHPnzkx6ejrDMAwjLy/PZGdnMwzDMLGxsUy/fv1IRmtRdXU18/fffwv8IU1eXp65ePGi0PWLFy8y8vLyBBI1r2PHjkxRURHDMAwzefJkZv369QzDMExxcTHTsWNHktFEysiRI5k9e/YwDMMwr169YlRVVRl1dXVGWlqa+fXXXwmnE/Tq1SsmOjqaiYyMZMLDwwX+sIGenh7/PYhNNDU1mbKyMv7XLf3R0tIinPSD58+fM2PGjGHExMSa/cMGKioqTGpqKsMwDCMrK8vk5eUxDMMw0dHRjLq6OsloX61pfjaTk5OjOb8Rkj/zCxcuMNLS0kzfvn0ZV1dXxtXVlenbty8jLS3NXLhwgUimj7m7uzP9+/dnrl27xnTq1In/XP3222+s+UwpChmp9oPulaHalPr6esjKygJoWM1++vQp9PT0oKGhwYrqd6OqqiqsWLECJ0+eRHl5udDjpLdSSktLN7u1XFNTE5KSkq0fqAW6uro4d+4cnJ2dER0dDQ8PDwDA8+fPWXt+mI1SU1MRFBQEAIiKioKqqqrAzg9SR0o+9vvvv2P69OmoqqqCnJycwDEDDofDig7YgYGB+PnnnxESEsKa4xlAwzGx5r5ms+XLl+PVq1e4efMmhg8fjrNnz+LZs2fYtGmT0ConKU5OTvDz88PJkycBNPw/LC4uxsqVKzFx4kTC6domRkQ22opCzhkzZhD7XTl69Gjk5ORgz549uH//PhiGgZOTExYtWsRvxkvauXPncOLECQwaNEjg942hoSHy8vIIJvtAFDJS7QctLFBtipGRETIyMqCtrY3vvvsO/v7+kJSUxL59+1i1vfPnn39GfHw8fv31V8yaNQu//PILnjx5gr179wp1vCdhyZIl2LhxIw4dOgQpKSkAwPv377F582YsXbqUcLoP1q1bh2nTpsHDwwN2dnb8YxsxMTEwMzMjnK5BfX09wsLCEBsbi+fPn4PH4wk8HhcXRyjZB9XV1ZCTkwPQ8NxNmDABYmJiGDRoEIqKigin+8DLywtz587Fli1bWDVCtqkZM2aguroaOjo6kJGREepHwqbGrGwXFxeH3377DQMGDICYmBg0NDQwcuRIyMvLY+vWrRgzZgzpiNi+fTtGjx4NFRUVvH37FtbW1igtLYWlpSU2b95MOh7VjmRkZHzx9zYeI9qzZ8+/FeezampqoK6u3uzrpKysjBVHSF68eNHsaNuqqirWTAIRhYxU+0ELC1SbsmbNGlRVVQEANm3ahLFjx2LYsGHo3LkzTpw4QTjdB7///jsiIiJgY2ODuXPnYtiwYdDV1YWGhgaOHDmC6dOnE82XlpaG2NhYqKurw9TUFEDD7POamhrY2dkJTBQgOTFg0qRJGDp0KEpKSvg5gYZu02wZQ7ls2TKEhYVhzJgxMDIyYuUvelHZ+fHkyRO4u7uztqgAADt37iQdoVmenp5f/L2kJmp8rKqqiv+BWVlZGS9evECfPn1gbGzMmuka8vLySExMRFxcHFJTU8Hj8WBubo4RI0aQjka1M/369eM3rf7c7xnSuyKBhka3Z86cEWoW+uzZM9jZ2eHevXuEkn0wYMAAXLhwAW5ubgA+NALfv38/fyGDNFHISLUftLBAtSlNG81pa2sjKysLL1++hJKSEqtu6F6+fMlv6icvL89fxRw6dCgrtp0rKioKbeNly9bEj3Xr1g3dunUTuDZw4EBCaYQdP34cJ0+exOjRo0lHaZEo7PwAGl7fycnJrNp99LEvneiybds2LFq0CIqKiv9uoP8vLS1N4O8pKSmor6+Hnp4egIaGX+Li4ujfv3+r5PkSenp6ePDgATQ1NdGvXz/s3bsXmpqaCAkJQffu3UnHE2BrawtbW1vSMf5P2PQ7kvp6TY84paWlwdvbGz4+PgINmAMDA+Hv708qooCSkhK4uroKTB0qKSmBra0t+vbtSzDZB1u3boWjoyOysrJQV1eH4OBgZGZmIikpCVwul3Q8AKKRkWo/aGGBavOazkBnC21tbRQWFkJDQwOGhoY4efIkBg4ciN9//73VbjQ+hU3jBUWdpKQkdHV1Scf4JFHY+QEAY8aMgY+PD7KysmBsbCx0zGDcuHGEkn29LVu2YMqUKa32eo+Pj+d/vWPHDsjJySE8PBxKSkoAGkbmubi4sGpyzvLly1FSUgKgYUyng4MDjhw5AklJSYSFhZEN10RsbGyLR50OHjxIKNXXE4WeAFTLNDQ0+F9PnjwZu3btEihom5iYoGfPnli7di3Gjx9PIKGgixcvwsrKCh4eHggKCsKTJ09ga2sLU1NTHD9+nHQ8AMDgwYNx48YNBAQEQEdHBzExMTA3N0dSUhKMjY1JxwMgGhmp9oOOm6QoAoKCgiAuLg53d3fEx8djzJgxqK+vR11dHXbs2IFly5aRjkh9I4GBgcjPz8fu3bvpiuD/0cdbZpvicDis2N77pUiOeevRowdiYmKEVgXv3bsHe3t7PH36tNUzfYnq6mpkZ2ejV69erDh/DQAbNmyAn58fLCws0L17d6HX+NmzZwkla1BXVwdpaWncuXMHRkZGn/zeR48eQU1NDeLi4q2U7p9ZvHgxNm7cyJr/Ay0hmbNjx45ITU2FgYGBwPX79+/D3Nwcb9++bfVMzXn8+DGGDh0KZ2dnXLhwAebm5jhy5Ahr/g9Onz4dNjY2sLa2Rp8+fUjHaZYoZKTaD1pYoCgWKC4uRnJyMnR0dARWjFuTubk5YmNjoaSkBDMzs0/eBLPlfDNbNe1BATQ0oVNWVkbfvn2FVtlJ9qigyCFZWJCTk8Nvv/0mtHU/Li4OTk5OeP36datn+pSamhoUFBRAR0cHHTqwa6Nl9+7d4e/vj5kzZ5KO0iIdHR2cOXOG2O+WT/knDQdJEJWcjczNzWFgYIDQ0FBIS0sDaGjAPHfuXNy/f59Vv8NzcnIwdOhQjBw5EpGRkawqwC9cuBBcLhc5OTlQVVWFtbU1rK2tYWNjA319fdLxAIhGRqr9oIUFiiKEbdtnN2zYAB8fH8jIyGDDhg2f/F5fX99WSiWaXFxcvvh76bGT9olkYWHWrFngcrkIDAzEoEGDAAA3b96Ej48PrKysEB4e3uqZmlNdXQ03Nzd+nocPH0JbWxvu7u5QU1PDypUrCScEOnfujFu3bkFHR4d0lBYdOnQIp06dwuHDh1l3NFBMTEwkGg6KSs5Gt27dwvfffw8ejyfQgJnD4eCPP/4g1oeopX5X1dXVkJKSEtipwKYJOqWlpUhISEBCQgK4XC4ePnwIFRUV/lEtNhCFjFTbx67SP0W1E5/bPktCY7Ggvr4eNjY2MDEx4Z+/pr5O02LB27dvwePx0KlTJwBAYWEhzp07BwMDA4Fmo1Tzdu3ahQULFkBaWhq7du365Pe6u7u3UirRFhISAm9vb8yYMQO1tbUAgA4dOsDV1RUBAQGE032watUqpKenIyEhAY6OjvzrI0aMgK+vLysKC/PmzcPRo0exdu1a0lFatGvXLuTm5kJNTQ0aGhr896JGJFevRaXhoKjkbDRw4EAUFBTg8OHDyM7OBsMwmDp1KqZNmyb0829NbJ2a8zlycnJQUlKCkpISFBUV0aFDB6Gm0aSJQkaq7aM7FiiKALZvn5WWlsb9+/f5kyuof87e3h4TJkzAokWLUFFRAX19fUhISKCsrAw7duxgxRQQNtPS0kJycjI6d+78yf+PHA4H+fn5rZjs/4bkjoVGVVVVyMvLA8Mw0NXVJXrD0RwNDQ2cOHECgwYNEni+cnNzYW5ujsrKSiK5mo7u5PF4CA8Ph4mJCUxMTISOOrFhdKeo7EAbOHAg1q9fLzRB5+LFi1i7di1SUlIIJRMkKjmp/7sVK1aAy+UiPT0dRkZGsLKygrW1NaysrFjRaBsQjYxU+0F3LFAUATU1NRg8eDDpGC0yNjZGfn4+LSx8A6mpqQgKCgIAREVFQVVVFWlpaTh9+jTWrVtHCwuf0XSlsOnXom7YsGHo2LEj0QwlJSUoKSmBlZUVOnbs+EXbvFvTixcvoKKiInS9qqqKaM6PR3f269cPQEPzSzZiS+Hgc+7evdvs7xwtLS1kZWURSNQ8UckJAFlZWSguLkZNTY3AdbZM0MnLy8OhQ4eQl5eH4OBgqKio4PLly+jZsycrRk4GBASga9eu8PX1hZOTk1AzTDYQhYxU+0F3LFAUAStWrICsrCxrt8/GxMRgxYoV2LhxI/r37y+0kikvL08omeiRkZHhd7KfMmUK+vbtC19fXzx69Ah6enqorq4mHZH6hlpaRedwOJCSkoKkpGQrJxJWXl6OKVOmID4+HhwOBzk5OdDW1oarqysUFRURGBhIOiIAwNraGpMmTYKbmxvk5OSQkZEBLS0tLF26FLm5ubh8+TLpiCKjoqICUVFRyMvLg4+PD5SVlZGamgpVVVX06NGDdDwAotNwUBRy5ufnw9nZGXfv3uX3hgDAL8ixoQ8El8vFqFGjMGTIEFy9ehX379+HtrY2/P39cevWLURFRZGOiPT0dHC5XCQkJODatWsQFxfnN0a0sbFhxU28KGSk2g9aWKCoViJK22ebjvVrujLYuKLJhg8losLExATz5s2Ds7MzjIyMcPnyZVhaWiIlJQVjxoxBaWkp6Yis1vR18zmkXzfAhyZvLVFXV8ecOXPg6+v7yfGZ/6ZZs2bh+fPnOHDgAAwMDPhHDGJiYuDh4YHMzEwiuT5248YNODo6Yvr06QgLC8PChQuRmZmJpKQkcLlc9O/fn3REzJ07F8HBwZCTkxO4XlVVBTc3NyKNeD+WkZGBESNGQEFBAYWFhXjw4AG0tbWxdu1aFBUVISIignREAOxtOPgxUcj5/fffQ1xcHPv374e2tjZu3bqF8vJyeHl5Yfv27Rg2bBjpiLC0tMTkyZPh6ekpcNTp9u3bGD9+PJ48eUI6opD09HTs3LkThw8fBo/HY+VnIVHISLVd9CgERbWSL90+y4atyIcOHULPnj2FZknzeDwUFxcTSiWa1q1bh2nTpsHDwwN2dnb8Zl8xMTEwMzMjnI79Pn7dpKSkoL6+Hnp6egAaJgWIi4uz4iYTAMLCwrB69WrMmTMHAwcOBMMwuH37NsLDw7FmzRq8ePEC27dvh5SUFP7zn/8QyRgTE4Po6Gioq6sLXO/duzeKioqIZGrO4MGDcePGDQQEBEBHRwcxMTEwNzdHUlISjI2NSccDAISHh2Pbtm1ChYW3b98iIiKCFYUFT09PzJkzB/7+/gI5R40ahWnTphFMJoitDQc/Jgo5k5KSEBcXh65du0JMTAxiYmIYOnQotm7dCnd3d6H3VRLu3r2Lo0ePCl3v2rUrysvLCSRqXlpaGn/awrVr11BZWYl+/fph+PDhpKPxiUJGqn2ghQWKaiXx8fGkI3yxuXPnoqSkROh8c3l5OUaMGIHZs2cTSiZ6Jk2ahKFDh6KkpERgjrydnR2cnZ0JJhMNTV83O3bsgJycHMLDw/kTS169egUXFxdWrMABDTeagYGBmDJlCv/auHHjYGxsjL179yI2Nha9evXC5s2biRUWqqqqICMjI3S9rKwMUlJSBBI1b/r06bCxscHq1avRp08f0nEEVFZWgmEYMAyD169f87fEAw3bzC9evNhsfwgSbt++jb179wpd79GjB+t2TMnIyGDBggWkY3wW23PW19dDVlYWANClSxc8ffoUenp60NDQwIMHDwina6CoqIiSkhKhfhVpaWmsOZ6jpKSEN2/ewNTUFDY2Npg/fz6srKxYdRxUFDJS7QctLFAUJaSlJm5v3rwR+ABNfZlu3boJjX1iw3ZZURMYGIiYmBiBMahKSkrYtGkT7O3t4eXlRTBdg6SkJISEhAhdNzMzQ1JSEgBg6NChRHf+WFlZISIiAhs3bgTQsEuKx+MhICCAVStcsrKyCAwMxKJFi6Cqqgpra2v+2WF9fX2i2RQVFcHhcMDhcJotenA4nM9OY2gt0tLSzfb+ePDgAbp27Uog0aexveFgIzbnNDIyQkZGBrS1tfHdd9/B398fkpKS2LdvH9FJNE1NmzYNK1aswKlTp/jvQdevX4e3tzdmzZpFOh4AIDIykvU36aKQkWo/aGGBoii+xvPsHA4Ha9euFVjVrK+vx19//cU/wkFRra2yshLPnj0T6hb+/PlzvH79mlAqQerq6ggNDcW2bdsEroeGhqJnz54AGnb+NC2OtLaAgADY2NggOTkZNTU1+Pnnn5GZmYmXL1/i+vXrxHJ9rHGVvbS0lL/NNzg4GEuWLIGKigpKSkqIZYuPjwfDMLC1tcXp06ehrKzMf0xSUhIaGhpQU1Mjlq8pJycn+Pn54eTJkwAa3t+Li4uxcuVKTJw4kXC6D0Sh4SAgGjnXrFmDqqoqAMCmTZswduxYDBs2DJ07d8aJEycIp2uwefNmzJkzBz169ADDMDA0NER9fT2mTZuGNWvWkI4HABg7dizpCJ8lChmp9oM2b6Qoiq9xtZLL5cLS0lKgg72kpCQ0NTXh7e2N3r17k4pItWOzZs0Cl8tFYGAgBg0aBAC4efMmfHx8YGVlhfDwcMIJgfPnz2Py5MnQ19fHgAEDwOFwcPv2bWRnZyMqKgpjx47Fnj17kJOTQ7TZZGlpKX799VekpqaCx+PB3NwcS5YsQffu3YllaklVVRUSExP5xYXU1FQYGhqy4px4UVERevbsSawR55eorKzE6NGjkZmZidevX0NNTQ2lpaWwtLTExYsXWdMXQBQaDgKik/NjL1++hJKSEiv6ODWVl5eHtLQ08Hg8mJmZ0c8XFCXCaGGBoighLi4uCA4OplvrKFaprq6Gt7c3Dh48iNraWgBAhw4d4OrqioCAANbcIBUWFiIkJAQPHz4EwzDQ19fHwoULoampSTqaSFmxYgW4XC7S09NhZGQEKysrWFtbw8rKCoqKiqTjCaiurm52W7yJiQmhRMLi4uIECkkjRowgHUlAly5dEBcXBxMTEygoKODWrVvQ09NDXFwcvLy8WFFIAkQnZ6PHjx+Dw+Gwpm/Bx2pqalBQUAAdHR106EA3UlOUKKOFBYqiKEqkVFVVIS8vDwzDQFdXlzUFBVFy7do17N27F/n5+Th16hR69OiByMhIaGlpYejQoaTjAWgY3dm1a1d4eHjAycmJlfPYX7x4ARcXF1y6dKnZx9mwLV5UKCkpISUlBdra2tDR0cGBAwcwfPhw5OXlwdjYGNXV1aQjAhCNnDweD5s2bUJgYCDevHkDAJCTk4OXlxdWr17Nih021dXVcHNz4+80e/jwIbS1teHu7g41NTWsXLmScEKKor4WLQ1SFEVRIqWkpAQlJSWwsrJCx44dW2w2SkpFRQVu3bqF58+fg8fjCTzGhqZkp0+fxsyZMzF9+nSkpqbi/fv3AIDXr19jy5YtuHjxIuGEDdLS0sDlcpGQkIDAwECIi4vzmzfa2NiwotCwfPlyvHr1Cjdv3sTw4cNx9uxZPHv2jH9TxxaxsbGIjY1t9v8kG0ZiAqLRcBAQjZyrV6/m93oZMmQIGIbB9evXsX79erx79w6bN28mHRGrVq1Ceno6EhIS4OjoyL8+YsQI+Pr60sICRYkgumOBoiiKEgnl5eWYMmUK4uPjweFwkJOTA21tbbi6ukJRUZEVN3K///47pk+fjqqqKsjJyQkUPDgcDl6+fEkwXQMzMzN4eHhg1qxZkJOTQ3p6OrS1tXHnzh04OjqybgRho/T0dOzcuROHDx8Gj8djxW6A7t2747fffsPAgQMhLy+P5ORk9OnTB+fPn4e/vz8SExNJR8SGDRvg5+cHCwsLdO/eXagId/bsWULJBEVHR6OqqgoTJkxAfn4+xo4di+zsbH7DQVtbW9IRAYhGTjU1NYSEhAhNqPjtt9/w008/4cmTJ4SSfaChoYETJ05g0KBBAu9Dubm5MDc3b3aSCUVR7EZ3LFAURVEiwcPDAxISEiguLhZYrZ46dSo8PDxYUVjw8vLC3LlzsWXLFoGpKmzy4MEDWFlZCV2Xl5dHRUVF6wf6hLS0NH7TxmvXrqGyshL9+vVjzVjMqqoqqKioAACUlZXx4sUL9OnTB8bGxkhNTSWcrkFISAjCwsIwc+ZM0lE+ycHBgf+1trY2srKyWNlwUBRyvnz5stmRrPr6+qwobgINx4gaXztNVVVVseZ5pCjq65A/ZEVRFEVRXyAmJgb//e9/oa6uLnC9d+/eKCoqIpRK0JMnT+Du7s7aogLQsMqem5srdD0xMZE1W7mBhrPsAwcOxJEjR9C7d29ERETg5cuXSE5ORkBAAOl4AAA9PT08ePAAANCvXz/s3bsXT548QUhICGsmbNTU1GDw4MGkY3yVx48f48mTJ1BWVmb1TSZbc5qammL37t1C13fv3g1TU1MCiYQNGDAAFy5c4P+98fnbv38/LC0tScWiKOr/gO5YoCiKokRCVVVVszfsZWVlkJKSIpBImIODA5KTk1l1g/6xhQsXYtmyZTh48CA4HA6ePn2KpKQkeHt7Y926daTj8UVGRsLKyorV02mWL1+OkpISAICvry8cHBxw5MgRSEpKIiwsjGy4/2/evHk4evQo1q5dSzrKJ4lCw0FANHIGBARg9OjR+PPPP2FpaQkOh4MbN27g0aNHrOmhsnXrVjg6OiIrKwt1dXUIDg5GZmYmkpKSwOVyScejKOofoD0WKIqiKJEwZswYmJubY+PGjZCTk0NGRgY0NDTwww8/gMfjISoqinREhIaGws/PDy4uLjA2NoaEhITA4x+feSZl9erVCAoKwrt37wAAUlJS8Pb2xsaNGwknE23V1dXIzs5Gr1690KVLF2I5PD09+V/zeDyEh4fDxMQEJiYmQv8nd+zY0drxmrVq1SqEhoZiw4YNQg0H58+fz4qGgwD7c9bW1sLe3h6bN2/GhQsXkJ2dDYZhYGhoiJ9++glqampE8zV17949BAQEICUlhT8GdcWKFTA2NiYdjaKof4AWFiiKoiiRkJWVBRsbG/Tv3x9xcXEYN24cMjMz8fLlS1y/fh06OjqkI35ytZLD4bCi4WCj6upqZGVlgcfjwdDQELKysqQjiayamhoUFBRAR0cHHTqQ3wz6NT0o4uPj/8UkX04UGg4CopGza9euuHHjBnr37k06SoumT58OGxsbWFtbo0+fPqTjUBT1DdDCAkVRFCUySktL8euvvyI1NZW/wrVkyRLWnGcXNY8ePQKHwxHqW0F9merqari5uSE8PBwA8PDhQ2hra8Pd3R1qamp0ZN5XkJaWRkZGhtBN5oMHD9CvXz+8ffuWUDJBopDTy8sLEhIS2LZtG+koLVq4cCG4XC5ycnKgqqoKa2tr/jjZ5hpPUhTFfrSwQFEURVHtSF1dHTZs2IBdu3bxz4jLysrCzc0Nvr6+QlvlqZYtW7YM169fx86dO+Ho6IiMjAxoa2vj/Pnz8PX1RVpaGumImDt3LoKDgyEnJydwvaqqCm5ubjh48CChZIK+++47fPfdd9i1a5fAdTc3N9y+fRs3b94klEyQKOR0c3NDREQEdHV1YWFhgU6dOgk8zpbjL0BDsbhx8guXy8XDhw+hoqLC711CUZTooIUFiqIoSmRcu3YNe/fuRX5+Pk6dOoUePXogMjISWlpaGDp0KJFMu3btwoIFCyAtLS10s/Exd3f3VkrVskWLFuHs2bPw8/Pjd19PSkrC+vXr4eTkhJCQEMIJRYeGhgZOnDiBQYMGQU5ODunp6dDW1kZubi7Mzc1RWVlJOiLExcVRUlIiNNqvrKwM3bp1Q11dHaFkgq5evYrRo0ejV69ezTYcHDZsGOmIAEQj56eOwnA4HMTFxbVimk+rqqpCYmIiv7iQmpoKQ0NDVhTlKIr6OrSwQFEURYmE06dPY+bMmZg+fToiIyORlZUFbW1t/Prrr/jjjz+IdTvX0tJCcnIyOnfuDC0trRa/j8PhID8/vxWTNU9BQQHHjx/HqFGjBK5funQJP/zwA/7++29CyUSPjIwM7t27B21tbYHCQnp6OqysrIg+l5WVlWAYBkpKSsjJyUHXrl35j9XX1+P333/HypUr8fTpU2IZG4lKw0FRySkKVqxYAS6Xi/T0dBgZGcHKygrW1tawsrKCoqIi6XgURf0DtLBAURRFiQQzMzN4eHhg1qxZAjdxd+7cgaOjI0pLS0lHFAmqqqpISEiAgYGBwPX79+/DysoKL168IJRM9FhbW2PSpElwc3PjTyrR0tLC0qVLkZubi8uXLxPLJiYmBg6H0+LjHA4HGzZswOrVq1sxVctEoeEgIDo52U5MTAxdu3aFh4cHnJychN6PKIoSPeRbF1MURVHUF3jw4AGsrKyErsvLy6OioqL1A4moJUuWYOPGjTh06BCkpKQAAO/fv8fmzZuxdOlSwulEy9atW+Ho6IisrCzU1dUhODgYmZmZSEpKApfLJZotPj4eDMPA1tYWp0+fhrKyMv8xSUlJaGhosGqFfdasWQgNDWV1w0FAdHKyXVpaGrhcLhISEhAYGAhxcXF+80YbGxtaaKAoEUQLCxRFUZRI6N69O3Jzc6GpqSlwPTExEdra2mRCAfD09Pzi72VD07S0tDTExsZCXV0dpqamAID09HTU1NTAzs4OEyZM4H/vmTNnSMUUCYMHD8aNGzcQEBAAHR0dxMTEwNzcHElJSTA2NiaazdraGgBQUFCAnj17fnIUKhvU1NTgwIEDuHLlCqsbDopKTrYzNTWFqakpv+9Meno6du7cCXd3d/B4PFaN5qUo6svQwgJFURQlEhYuXIhly5bh4MGD4HA4ePr0KZKSkuDt7Y1169YRy/Vxk7GUlBTU19dDT08PQMMIQnFxcfTv359EPCGKioqYOHGiwLWePXsSSiPapk+fDhsbG6xevVpo/CBbaGhoAGgYjVlcXIyamhqBx01MTEjEEnLv3j2Ym5sDaHjNNPWpIx2tTVRyioK0tDR+08Zr166hsrIS/fr1+2TzSYqi2Iv2WKAoiqJExurVqxEUFIR3794BAKSkpODt7Y2NGzcSTtZgx44dSEhIQHh4OJSUlAAAr169gouLC4YNGwYvLy/CCYG3b9+Cx+PxV1oLCwtx7tw5GBgYwMHBgXA60bJw4UJwuVzk5ORAVVUV1tbW/O3c+vr6pOMBAF68eAEXFxdcunSp2cfpyjBFgpKSEt68eQNTU1P+8QcrKyvIy8uTjkZR1D9ECwsURVGUSKmurkZWVhZ4PB4MDQ0hKytLOhJfjx49EBMTg759+wpcv3fvHuzt7VnRgd/e3h4TJkzAokWLUFFRAX19fUhISKCsrAw7duzA4sWLSUcUOaWlpfyVVy6Xi4cPH0JFRQUlJSWko2H69OkoLCzEzp07MXz4cJw9exbPnj3Dpk2bEBgYiDFjxpCOSLVDf/zxBy0kUFQbw+4DdxRFURT1ERkZGaiqqkJNTY1VRQWgYcTfs2fPhK4/f/4cr1+/JpBIWGpqKoYNGwYAiIqKgqqqKoqKihAREYFdu3YRTiea5OTkoKSkBCUlJSgqKqJDhw7o1q0b6VgAgLi4OAQFBWHAgAEQExODhoYGZsyYAX9/f2zdupV0PKqdGjt2LC0qUFQbQwsLFEVRlEioq6vD2rVroaCgAE1NTWhoaEBBQQFr1qxBbW0t6XgAAGdnZ7i4uCAqKgqPHz/G48ePERUVBVdXV4GmiCRVV1dDTk4OABATE4MJEyZATEwMgwYNQlFREeF0omXFihUYNGgQunTpgjVr1qCmpgarVq3Cs2fPhHpvkFJVVQUVFRUAgLKyMn+cqLGxMVJTU0lGoyiKotoQ2ryRoiiKEglLly7F2bNn4e/vD0tLSwBAUlIS1q9fj7KyMoSEhBBOCISEhMDb2xszZszgFzs6dOgAV1dXBAQEEE7XQFdXF+fOnYOzszOio6Ph4eEBoGFXBV1B/DoBAQHo2rUrfH194eTkxMoReXp6enjw4AE0NTXRr18/7N27F5qamggJCUH37t1Jx6MoiqLaCNpjgaIoihIJCgoKOH78OEaNGiVw/dKlS/jhhx/w999/E0omrKqqCnl5eWAYBrq6ukIj6UiKiorCtGnTUF9fDzs7O8TExAAAtm7diqtXr7bY5I8Slp6eDi6Xy+9qLy4uzm/eaGNjw4pCw5EjR1BbW4s5c+YgLS0NDg4OKC8vh6SkJMLCwjB16lTSESmKoqg2gBYWKIqiKJGgqqqKhIQEoZu1+/fvw8rKir/Fmw1yc3ORl5cHKysrdOzYEQzDsGoUXWlpKUpKSmBqagoxsYZTkbdu3YK8vDxrphmIovT0dOzcuROHDx8Gj8dj5cSF6upqZGdno1evXujSpQvpOBRFUVQbQQsLFEVRlEjw8/NDdnY2Dh06BCkpKQDA+/fv4erqit69e8PX15dwQqC8vBxTpkxBfHw8OBwOcnJyoK2tDVdXVygqKiIwMJB0ROobS0tL40+EuHbtGiorK9GvXz8MHz6cNcdfAKCmpgYFBQXQ0dFBhw70JCxFURT1bdHCAkVRFCUSnJ2dERsbCykpKZiamgJoWCGuqamBnZ2dwPeeOXOGRETMmjULz58/x4EDB2BgYID09HRoa2sjJiYGHh4eyMzMJJKL+ncoKSnhzZs3MDU15R9/YNsIverqari5uSE8PBwA8PDhQ2hra8Pd3R1qampYuXIl4YQURVFUW0BL1hRFUZRIUFRUxMSJEwWu9ezZk1Ca5sXExCA6Ohrq6uoC13v37k0nLrRBkZGRrCskfGzVqlVIT09HQkICHB0d+ddHjBgBX19fWligKIqivglaWKAoiqJEwq+//goej8dvhFhYWIhz587BwMAADg4OhNM1qKqqgoyMjND1srIy/vENqu0YO3Ys6Qifde7cOZw4cQKDBg0S6PNhaGiIvLw8gskoiqKotkSMdACKoiiK+hJOTk6IjIwEAFRUVGDQoEEIDAzE+PHjsWfPHsLpGlhZWSEiIoL/dw6HAx6Ph4CAAAwfPpxgMqq9evHiBVRUVISuV1VVsaqhKEVRFCXaaGGBoiiKEgmpqakYNmwYgIaRiaqqqigqKkJERAR27dpFOF2DgIAA7N27F6NGjUJNTQ1+/vlnGBkZ4erVq/jvf/9LOh7VDg0YMAAXLlzg/72xmLB//35YWlqSikVRFEW1MfQoBEVRFCUSqqurIScnB6Chl8GECRMgJiaGQYMGsaZ/gaGhITIyMvDrr79CXFwcVVVVmDBhApYsWYLu3buTjke1Q1u3boWjoyOysrJQV1eH4OBgZGZmIikpCVwul3Q8iqIoqo2gUyEoiqIokWBiYoJ58+bB2dkZRkZGuHz5MiwtLZGSkoIxY8agtLSUdESKYqV79+4hICAAKSkp4PF4MDc3x4oVK2BsbEw6GkVRFNVG0MICRVEUJRKioqIwbdo01NfXw87ODjExMQAaVmSvXr2KS5cuEU7Y4Nq1a9i7dy/y8/Nx6tQp9OjRA5GRkdDS0sLQoUNJx6PamenTp8PGxgbW1tbo06cP6TgURVFUG0V7LFAURVEiYdKkSSguLkZycjIuX77Mv25nZ4egoCCCyT44ffo0HBwc0LFjR6SmpuL9+/cAgNevX2PLli2E01HtkaysLAIDA2FgYAA1NTX8+OOPCAkJQXZ2NuloFEVRVBtCdyxQFEVR1DdiZmYGDw8PzJo1C3JyckhPT4e2tjbu3LkDR0dHelyDIqa0tBQJCQlISEgAl8vFw4cPoaKigpKSEtLRKIqiqDaA7ligKIqiqG/kwYMHsLKyErouLy+PioqK1g9EUf+fnJwclJSUoKSkBEVFRXTo0AHdunUjHYuiKIpqI2hhgaIoiqK+ke7duyM3N1foemJiIrS1tQkkotq7FStWYNCgQejSpQvWrFmDmpoarFq1Cs+ePUNaWhrpeBRFUVQbQcdNUhRFUdQ3snDhQixbtgwHDx4Eh8PB06dPkZSUBG9vb6xbt450PKodCggIQNeuXeHr6wsnJycYGBiQjkRRFEW1QbTHAkVRFEV9Q6tXr0ZQUBDevXsHAJCSkoK3tzc2btxIOBnVHqWnp4PL5SIhIQHXrl2DuLg4rK2tYWNjAxsbG1pooCiKor4JWligKIqiqG+suroaWVlZ4PF4MDQ0hKysLOlIFAWgodCwc+dOHD58GDweD/X19aQjURRFUW0APQpBURRFUd+YjIwMVFVVweFwaFGBIi4tLY0/EeLatWuorKxEv379MHz4cNLRKIqiqDaC7ligKIqiqG+krq4OGzZswK5du/DmzRsAgKysLNzc3ODr6wsJCQnCCan2RklJCW/evIGpqSn/+IOVlRXk5eVJR6MoiqLaELpjgaIoiqK+kaVLl+Ls2bPw9/eHpaUlACApKQnr169HWVkZQkJCCCek2pvIyEhaSKAoiqL+dXTHAkVRFEV9IwoKCjh+/DhGjRolcP3SpUv44Ycf8PfffxNKRlEURVEU9e8RIx2AoiiKotoKaWlpaGpqCl3X1NSEpKRk6weiKIqiKIpqBbSwQFEURVHfyJIlS7Bx40a8f/+ef+39+/fYvHkzli5dSjAZRVEURVHUv4cehaAoiqKob8TZ2RmxsbGQkpKCqakpgIbxfjU1NbCzsxP43jNnzpCISFEURVEU9c3R5o0URVEU9Y0oKipi4sSJAtd69uxJKA1FURRFUVTroDsWKIqiKOobefv2LXg8Hjp16gQAKCwsxLlz52BgYAAHBwfC6SiKoiiKov4dtMcCRVEURX0jTk5OiIyMBABUVFRg0KBBCAwMxPjx47Fnzx7C6SiKoiiKov4dtLBAURRFUd9Iamoqhg0bBgCIioqCqqoqioqKEBERgV27dhFOR1EURVEU9e+ghQWKoiiK+kaqq6shJycHAIiJicGECRMgJiaGQYMGoaioiHA6iqIoiqKofwctLFAURVHUN6Krq4tz587h0aNHiI6Ohr29PQDg+fPnkJeXJ5yOoiiKoijq30ELCxRFURT1jaxbtw7e3t7Q1NTEd999B0tLSwANuxfMzMwIp6MoiqIoivp30KkQFEVRFPUNlZaWoqSkBKamphATa6jf37p1C/Ly8tDX1yecjqIoiqIo6tujhQWKoiiKoiiKoiiKov4xehSCoiiKoiiKoiiKoqh/jBYWKIqiKIqiKIqiKIr6x2hhgaIoiqIoiqIoiqKof4wWFiiKoiiKoiiKoiiK+sdoYYGiKIqiKIqiKIqiqH+MFhYoiqIoiqIoiqIoivrHaGGBoiiKoiiKoiiKoqh/7P8BbK6bg1ZQPiwAAAAASUVORK5CYII=",
|
||
"text/plain": [
|
||
"<Figure size 1200x1000 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Korrelationsmatrix\n",
|
||
"plt.figure(figsize=(12, 10))\n",
|
||
"sns.heatmap(X_train.corr(), annot=True, fmt=\".2f\", cmap='coolwarm', square=True, cbar_kws={\"shrink\": .8})\n",
|
||
"plt.title('Korrelationsmatrix der Merkmale')\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "684d6fee",
|
||
"metadata": {},
|
||
"source": [
|
||
"Man kann erkennen das die kategorischen Variablen natürlich eine stärkere Korrelation haben, weil sie schon in Dummies umgewandelt wurden. Ansonsten gibt es keine stärkeren Korrelationen, sodass wir sehr wahrscheinlich kein Multikolinearitätsproblem haben."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 13,
|
||
"id": "b748cb80",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"C:\\Users\\yann\\AppData\\Local\\Temp\\ipykernel_15840\\146936503.py:6: FutureWarning: \n",
|
||
"\n",
|
||
"Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
|
||
"\n",
|
||
" sns.barplot(x=counts.index, y=counts.values, palette='viridis')\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"C:\\Users\\yann\\AppData\\Local\\Temp\\ipykernel_15840\\146936503.py:6: FutureWarning: \n",
|
||
"\n",
|
||
"Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
|
||
"\n",
|
||
" sns.barplot(x=counts.index, y=counts.values, palette='viridis')\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"C:\\Users\\yann\\AppData\\Local\\Temp\\ipykernel_15840\\146936503.py:6: FutureWarning: \n",
|
||
"\n",
|
||
"Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
|
||
"\n",
|
||
" sns.barplot(x=counts.index, y=counts.values, palette='viridis')\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"C:\\Users\\yann\\AppData\\Local\\Temp\\ipykernel_15840\\146936503.py:6: FutureWarning: \n",
|
||
"\n",
|
||
"Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
|
||
"\n",
|
||
" sns.barplot(x=counts.index, y=counts.values, palette='viridis')\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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ExERr4JcyBu90D/qduFt5Ly8vXbhwIcP08+fPS/q/fY6IiJCzs7M2bdpkEyg+/fTTDOuT/vrO+/r6WqenHxcP6+bNm/riiy/0zDPPWL9Pt79vt7uf38+ztwdpC5ycnDR48GANHjxYV69e1RdffKERI0aoadOmio6OVq5cuR5n1QGIsAXATlJTU7V48WI988wzmj9/fob5mzZt0pQpU7Rly5YM3XH+yYIFCzRmzBi99957d/2B1PQTyttPViVpzpw5D7Sdf6N+/fqaNGmSli9frv79+1unr1ixwqZcrly5VL9+fR05ckQVK1a0XkF/lGrUqKHy5ctr0aJFKlWqlDw8PGy6IjZs2FCTJk3SsmXLNGjQIOv0tWvXKiEhQQ0bNnyg7b3zzjtyc3PToEGDlJCQoNDQUEmydltbtmyZTYA7ePCgTp48ab0z8iQICAjQ+PHj5eXllSHsPg7pv7V17Ngxm/dq48aNpm2zYcOGCg0N1bfffqtnn33WOn3JkiWyWCyqX7++pL+OKycnJ5uLIzdv3tTSpUtt1levXj1J0vLly2266q1evfquP1fwIFJTU9W3b19duXLF+v2SbN+30qVLW6dv2LDhobb3OPzbtiBv3rxq06aNfv/9dw0cOFBnz55VuXLlTK4tgDsRtgDYxZYtW3T+/HlNnDjRevJ1u/Lly2vmzJlasGDBA4WtvXv3qlevXqpdu7YaN26c4bmmmjVrqkyZMnrmmWc0bNgwGYYhT09Pbdy4Udu2bXvY3fpHTZo00X//+18FBwcrISFB1apV09dff53hhFSSPvjgAz3//POqU6eOevfurWLFiunatWs6ffq0Nm7caPOszL/VtWtXDR48WKdOnVLPnj3l6upqnde4cWM1bdpUb7/9tuLj41W7dm0dO3ZMo0ePVpUqVf7Vjx4PGDBAefLkUY8ePXT9+nVNnz5dpUuXVo8ePTRjxgw5ODioefPmOnv2rEaNGiU/Pz+boGdvAwcO1Nq1a/Xf//5XgwYNUsWKFZWWlqbffvtNW7du1ZAhQ0z9Qe4XXnhBnp6eCgoK0nvvvScnJyeFh4crOjratG0OGjRIS5YsUYsWLfTee++paNGi+uyzz/TRRx+pd+/e1mfCWrRoobCwMHXs2FE9evTQlStXNHny5AwXNcqWLatOnTpp2rRpcnZ2VqNGjXT8+HFNnjxZ7u7u912vixcvat++fTIMQ9euXbP+qPHRo0c1aNAgde/e3Vr2ueeeU+nSpTV06FClpKQoX758Wrdunfbs2fNo3iST3W9b0LJlS5UvX17VqlVTgQIF9Ouvv2ratGkqWrSoSpYsaee9ALInwhYAu1iwYIFy5MhhHYzhTvnz59fLL7+sNWvW6OLFi/e93lOnTiklJUVff/21/P39M8w3DEPOzs7auHGjBgwYoJ49e8rJyUmNGjXSF198oaeeeupf79P9cHBw0IYNGzR48GBNmjRJSUlJql27tjZv3qwyZcrYlC1Xrpy+/fZbjR07Vu+8844uXbqkvHnzqmTJktZnNR5WYGCghg0bpqSkJOtvKqWzWCz69NNPFRISokWLFmncuHHKnz+/AgMDNX78+Awn0fcrKChIuXPnVmBgoBISEjR//nzNmjVLzzzzjBYsWKAPP/xQHh4eatasmUJDQx/ZczyPQu7cufXVV19pwoQJmjt3rs6cOSNXV1c99dRTatSokfUOilnc3d0VGRmpgQMHqlOnTsqbN6+6deum5s2bq1u3bqZss0CBAvrmm280fPhwDR8+XPHx8Xr66ac1adIkDR482FquQYMGWrhwoSZOnKiWLVvK19dX3bt3V8GCBa2/7ZZuwYIF8vb2Vnh4uKZPn67KlStr7dq11oFy7kd692MHBwflyZNHRYsWlb+/v2bPnq2aNWvalHV0dNTGjRvVt29f9erVSy4uLmrfvr1mzpxp/TH1J9n9tgX169fX2rVrNX/+fMXHx8vHx0eNGzfWqFGj5OzsbMc9ALIvi/GwQ/YAAAAAADJgNEIAAAAAMAFhCwAAAABMQNgCAAAAABMQtgAAAADABIQtAAAAADABYQsAAAAATMDvbN2ntLQ0nT9/Xm5ubrJYLPauDgAAAAA7Sf9B9cKFC8vB4d73rwhb9+n8+fPy8/OzdzUAAAAAPCGio6NVpEiRe84nbN0nNzc3SX+9oe7u7nauDQAAAAB7iY+Pl5+fnzUj3Ath6z6ldx10d3cnbAEAAAD4x8eLGCADAAAAAExA2AIAAAAAExC2AAAAAMAEhC0AAAAAMAFhCwAAAABMQNgCAAAAABMQtgAAAADABIQtAAAAADABYQsAAAAATEDYAgAAAAATELYAAAAAwASELQAAAAAwAWELAAAAAExA2AIAAAAAExC2AAAAAMAEhC0AAAAAMAFhCwAAAABMQNgCAAAAABMQtgAAAADABE72rgAyatLuPXtXAch0tq56195VeKQqvx9i7yoAmVLUOyH2rgIAWHFnCwAAAABMQNgCAAAAABMQtgAAAADABIQtAAAAADABYQsAAAAATEDYAgAAAAATELYAAAAAwASELQAAAAAwAWELAAAAAExA2AIAAAAAExC2AAAAAMAEhC0AAAAAMAFhCwAAAABM4GTvCgAAACCjftsH2LsKQKY0o+EH9q6CFXe2AAAAAMAEhC0AAAAAMAFhCwAAAABMQNgCAAAAABMQtgAAAADABIQtAAAAADABYQsAAAAATEDYAgAAAAATELYAAAAAwASELQAAAAAwAWELAAAAAExA2AIAAAAAExC2AAAAAMAEhC0AAAAAMAFhCwAAAABMQNgCAAAAABMQtgAAAADABIQtAAAAADABYQsAAAAATEDYAgAAAAATELYAAAAAwASELQAAAAAwAWELAAAAAExA2AIAAAAAExC2AAAAAMAEhC0AAAAAMAFhCwAAAABMQNgCAAAAABMQtgAAAADABIQtAAAAADABYQsAAAAATEDYAgAAAAATELYAAAAAwASELQAAAAAwAWELAAAAAExA2AIAAAAAExC2AAAAAMAEhC0AAAAAMAFhCwAAAABMQNgCAAAAABMQtgAAAADABIQtAAAAADABYQsAAAAATEDYAgAAAAATELYAAAAAwASELQAAAAAwAWELAAAAAExA2AIAAAAAEzwxYSs0NFQWi0UDBw60TjMMQyEhISpcuLBcXV1Vr149nThxwma5xMRE9evXT/nz51fu3LnVqlUrnTt3zqZMbGysAgMD5eHhIQ8PDwUGBurq1auPYa8AAAAAZFdPRNg6ePCg5s6dq4oVK9pMnzRpksLCwjRz5kwdPHhQPj4+aty4sa5du2YtM3DgQK1bt04RERHas2ePrl+/roCAAKWmplrLdOzYUVFRUYqMjFRkZKSioqIUGBj42PYPAAAAQPZj97B1/fp1vfbaa5o3b57y5ctnnW4YhqZNm6aRI0eqdevWKl++vBYvXqwbN25oxYoVkqS4uDgtWLBAU6ZMUaNGjVSlShUtW7ZM3333nb744gtJ0smTJxUZGan58+fL399f/v7+mjdvnjZt2qRTp07ZZZ8BAAAAZH12D1tvvvmmWrRooUaNGtlMP3PmjGJiYtSkSRPrNBcXF9WtW1fffPONJOnw4cNKTk62KVO4cGGVL1/eWmbv3r3y8PBQjRo1rGVq1qwpDw8Pa5m7SUxMVHx8vM0fAAAAANwvJ3tuPCIiQt9++60OHjyYYV5MTIwkydvb22a6t7e3fv31V2uZHDly2NwRSy+TvnxMTIwKFiyYYf0FCxa0lrmb0NBQjRkz5sF2CAAAAAD+P7vd2YqOjtaAAQO0bNky5cyZ857lLBaLzWvDMDJMu9OdZe5W/p/WM3z4cMXFxVn/oqOj/3abAAAAAHA7u4Wtw4cP69KlS6pataqcnJzk5OSk3bt3a/r06XJycrLe0brz7tOlS5es83x8fJSUlKTY2Ni/LXPx4sUM2798+XKGu2a3c3Fxkbu7u80fAAAAANwvu4Wthg0b6rvvvlNUVJT1r1q1anrttdcUFRWlp59+Wj4+Ptq2bZt1maSkJO3evVu1atWSJFWtWlXOzs42ZS5cuKDjx49by/j7+ysuLk4HDhywltm/f7/i4uKsZQAAAADgUbPbM1tubm4qX768zbTcuXPLy8vLOn3gwIEaP368SpYsqZIlS2r8+PHKlSuXOnbsKEny8PBQUFCQhgwZIi8vL3l6emro0KGqUKGCdcCNsmXLqlmzZurevbvmzJkjSerRo4cCAgJUunTpx7jHAAAAALITuw6Q8U+Cg4N18+ZN9enTR7GxsapRo4a2bt0qNzc3a5mpU6fKyclJbdu21c2bN9WwYUOFh4fL0dHRWmb58uXq37+/ddTCVq1aaebMmY99fwAAAABkH09U2Nq1a5fNa4vFopCQEIWEhNxzmZw5c2rGjBmaMWPGPct4enpq2bJlj6iWAAAAAPDP7P47WwAAAACQFRG2AAAAAMAEhC0AAAAAMAFhCwAAAABMQNgCAAAAABMQtgAAAADABIQtAAAAADABYQsAAAAATEDYAgAAAAATELYAAAAAwASELQAAAAAwAWELAAAAAExA2AIAAAAAExC2AAAAAMAEhC0AAAAAMAFhCwAAAABMQNgCAAAAABMQtgAAAADABIQtAAAAADABYQsAAAAATEDYAgAAAAATELYAAAAAwASELQAAAAAwAWELAAAAAExA2AIAAAAAExC2AAAAAMAEhC0AAAAAMAFhCwAAAABMQNgCAAAAABMQtgAAAADABIQtAAAAADABYQsAAAAATEDYAgAAAAATELYAAAAAwASELQAAAAAwAWELAAAAAExA2AIAAAAAExC2AAAAAMAEhC0AAAAAMAFhCwAAAABMQNgCAAAAABMQtgAAAADABIQtAAAAADABYQsAAAAATEDYAgAAAAATELYAAAAAwASELQAAAAAwAWELAAAAAExA2AIAAAAAExC2AAAAAMAEhC0AAAAAMAFhCwAAAABMQNgCAAAAABMQtgAAAADABIQ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",
|
||
"text/plain": [
|
||
"<Figure size 1000x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"C:\\Users\\yann\\AppData\\Local\\Temp\\ipykernel_15840\\146936503.py:6: FutureWarning: \n",
|
||
"\n",
|
||
"Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
|
||
"\n",
|
||
" sns.barplot(x=counts.index, y=counts.values, palette='viridis')\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"def plot_dummy_counts(df, prefix):\n",
|
||
" dummy_cols = [col for col in df.columns if col.startswith(prefix)]\n",
|
||
" counts = df[dummy_cols].sum().sort_values(ascending=False)\n",
|
||
" \n",
|
||
" plt.figure(figsize=(10, 6))\n",
|
||
" sns.barplot(x=counts.index, y=counts.values, palette='viridis')\n",
|
||
" plt.title(f'Anzahl der Vorkommen für {prefix} Dummies')\n",
|
||
" plt.xlabel('Dummy Variablen')\n",
|
||
" plt.ylabel('Anzahl')\n",
|
||
" plt.xticks(rotation=45)\n",
|
||
" plt.show()\n",
|
||
" \n",
|
||
"plot_dummy_counts(X_train, 'shift')\n",
|
||
"plot_dummy_counts(X_train, 'speeding')\n",
|
||
"plot_dummy_counts(X_train, 'weather')\n",
|
||
"plot_dummy_counts(X_train, 'road')\n",
|
||
"plot_dummy_counts(X_train, 'weekday')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "2127272a",
|
||
"metadata": {},
|
||
"source": [
|
||
"### Schrittweise Variablenselektion: Backward Selection\n",
|
||
"\n",
|
||
"Um herauszufinden, welche Variablen tatsächlich erklärend für die Zielvariable sind, wird eine schrittweise Rückwärtsselektion (Backward Selection) durchgeführt. Dabei startet man mit allen potenziellen Prädiktoren und entfernt schrittweise die am wenigsten signifikanten Variablen, bis nur noch signifikante Prädiktoren übrig bleiben. Dies hilft, ein einfaches und interpretierbares Modell zu erhalten. Da die Zielvariable binär ist, wird eine logistische Regression verwendet. Das Modell wird auf den Trainingsdaten trainiert und die Modellgüte auf den Testdaten evaluiert."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 14,
|
||
"id": "19c7e28c",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Entfernte Variablen und zugehörige p-Werte:\n",
|
||
"weekday_Mo-Fr: p=1.0000\n",
|
||
"trip_distance: p=0.7961\n",
|
||
"road_Autobahn: p=1.0000\n",
|
||
"road_Innerorts: p=0.7788\n",
|
||
"speeding_haeufig: p=1.0000\n",
|
||
"weekday_Sa: p=0.6861\n",
|
||
"weather_winterlich: p=1.0000\n",
|
||
"shift_normal: p=1.0000\n",
|
||
"shift_frueh: p=0.9369\n",
|
||
"shift_spaet: p=0.7977\n",
|
||
"road_Außerorts: p=0.5723\n",
|
||
"speeding_selten: p=0.4000\n",
|
||
"weekday_So: p=0.2843\n",
|
||
"\n",
|
||
"Verbleibende Variablen im Modell:\n",
|
||
"['avg_speed', 'hard_brakes', 'speeding_manchmal', 'weather_nass', 'weather_trocken']\n",
|
||
"\n",
|
||
"Zusammenfassung des finalen Modells:\n",
|
||
" Logit Regression Results \n",
|
||
"==============================================================================\n",
|
||
"Dep. Variable: y No. Observations: 14000\n",
|
||
"Model: Logit Df Residuals: 13994\n",
|
||
"Method: MLE Df Model: 5\n",
|
||
"Date: Thu, 12 Jun 2025 Pseudo R-squ.: 0.006879\n",
|
||
"Time: 14:40:25 Log-Likelihood: -8108.5\n",
|
||
"converged: True LL-Null: -8164.6\n",
|
||
"Covariance Type: nonrobust LLR p-value: 1.314e-22\n",
|
||
"=====================================================================================\n",
|
||
" coef std err z P>|z| [0.025 0.975]\n",
|
||
"-------------------------------------------------------------------------------------\n",
|
||
"const -1.6939 0.127 -13.365 0.000 -1.942 -1.445\n",
|
||
"avg_speed 0.0157 0.002 8.231 0.000 0.012 0.019\n",
|
||
"hard_brakes 0.0781 0.013 5.794 0.000 0.052 0.105\n",
|
||
"speeding_manchmal -0.0845 0.041 -2.059 0.040 -0.165 -0.004\n",
|
||
"weather_nass -0.2496 0.093 -2.670 0.008 -0.433 -0.066\n",
|
||
"weather_trocken -0.1701 0.086 -1.987 0.047 -0.338 -0.002\n",
|
||
"=====================================================================================\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import statsmodels.api as sm\n",
|
||
"\n",
|
||
"def backward_selection(X, y, significance_level=0.05):\n",
|
||
" X_ = X.copy().astype(float)\n",
|
||
" removed_features = []\n",
|
||
" while True:\n",
|
||
" X_with_const = sm.add_constant(X_)\n",
|
||
" model = sm.Logit(y, X_with_const).fit(disp=0)\n",
|
||
" pvalues = model.pvalues.drop('const')\n",
|
||
" max_pval = pvalues.max()\n",
|
||
" if max_pval > significance_level:\n",
|
||
" excluded_feature = pvalues.idxmax()\n",
|
||
" removed_features.append((excluded_feature, max_pval))\n",
|
||
" X_ = X_.drop(columns=[excluded_feature])\n",
|
||
" else:\n",
|
||
" break\n",
|
||
" return X_, removed_features, model\n",
|
||
"\n",
|
||
"X_selected, removed_features, final_model = backward_selection(X_train, y_train)\n",
|
||
"\n",
|
||
"print(\"Entfernte Variablen und zugehörige p-Werte:\")\n",
|
||
"for feat, pval in removed_features:\n",
|
||
" print(f\"{feat}: p={pval:.4f}\")\n",
|
||
"\n",
|
||
"print(\"\\nVerbleibende Variablen im Modell:\")\n",
|
||
"print(list(X_selected.columns))\n",
|
||
"\n",
|
||
"print(\"\\nZusammenfassung des finalen Modells:\")\n",
|
||
"print(final_model.summary())"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "257e622b",
|
||
"metadata": {},
|
||
"source": [
|
||
"### Interpretation der Modellkoeffizienten\n",
|
||
"\n",
|
||
"Die geschätzten Koeffizienten der logistischen Regression geben Aufschluss darüber, welche Variablen einen Einfluss auf die Wahrscheinlichkeit eines Diebstahls haben. Diese werden mit den tatsächlichen, zur Generierung verwendeten Koeffizienten verglichen."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 15,
|
||
"id": "6641f80c",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"\n",
|
||
"Modellkoeffizienten:\n",
|
||
"const -1.693856\n",
|
||
"avg_speed 0.015739\n",
|
||
"hard_brakes 0.078115\n",
|
||
"speeding_manchmal -0.084460\n",
|
||
"weather_nass -0.249625\n",
|
||
"weather_trocken -0.170069\n",
|
||
"dtype: float64\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Modellkoeffizienten anzeigen\n",
|
||
"coefficients = final_model.params\n",
|
||
"print(\"\\nModellkoeffizienten:\")\n",
|
||
"print(coefficients)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "4194adef",
|
||
"metadata": {},
|
||
"source": [
|
||
"### Vergleich mit dem Generierungsmodell (Verlassen der Anwenderperspektive)\n",
|
||
"\n",
|
||
"Abschließend wird das trainierte Modell mit dem tatsächlich zur Generierung der Zielvariable verwendeten Modell verglichen. Die geschätzten Koeffizienten sollten – abgesehen von Zufallsschwankungen – mit den wahren Koeffizienten übereinstimmen. Dies zeigt, dass das systematische Vorgehen des Data Scientist erfolgreich war und das zugrundeliegende Modell korrekt rekonstruiert wurde."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 16,
|
||
"id": "0541fa09",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Vergleich der geschätzten und wahren Koeffizienten:\n",
|
||
" Geschätzte Koeffizienten Wahre Koeffizienten\n",
|
||
"avg_speed 0.015739 0.015\n",
|
||
"const -1.693856 NaN\n",
|
||
"hard_brakes 0.078115 0.100\n",
|
||
"road_Autobahn NaN 0.000\n",
|
||
"shift_frueh NaN 0.050\n",
|
||
"shift_normal NaN 0.075\n",
|
||
"shift_spaet NaN 0.050\n",
|
||
"speeding_haeufig NaN 0.075\n",
|
||
"speeding_manchmal -0.084460 0.000\n",
|
||
"speeding_selten NaN 0.000\n",
|
||
"trip_distance NaN 0.000\n",
|
||
"weather_nass -0.249625 0.000\n",
|
||
"weather_trocken -0.170069 0.000\n",
|
||
"weather_winterlich NaN 0.000\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Tatsächliche Betas aus der Generierung (siehe oben)\n",
|
||
"true_betas = pd.Series([\n",
|
||
" 0.015, # avg_speed\n",
|
||
" 0.1, # hard_brakes\n",
|
||
" 0., # trip_distance\n",
|
||
" 0.05, 0.075, # shift_dummies\n",
|
||
" 0.05, 0.075, # speeding_dummies\n",
|
||
" 0., 0., # weather_dummies\n",
|
||
" 0., 0., # road_dummies\n",
|
||
" 0., 0. # weekday_dummies\n",
|
||
"], index=X_train.columns[:13]) # Die Reihenfolge entspricht der Generierung\n",
|
||
"\n",
|
||
"print(\"Vergleich der geschätzten und wahren Koeffizienten:\")\n",
|
||
"comparison = pd.DataFrame({\n",
|
||
" 'Geschätzte Koeffizienten': coefficients,\n",
|
||
" 'Wahre Koeffizienten': true_betas\n",
|
||
"})\n",
|
||
"print(comparison)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "7516554c",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Güte der Modellparameter"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "18f9a07d",
|
||
"metadata": {},
|
||
"source": []
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "c1bb79ce",
|
||
"metadata": {},
|
||
"source": [
|
||
"### Güte der Modellparameter: Einfluss des Stichprobenumfangs\n",
|
||
"\n",
|
||
"In diesem Abschnitt wird untersucht, wie sich der Stichprobenumfang auf die Schätzgüte der Modellparameter auswirkt. Dazu werden jeweils k = 1.000 zufällige Stichproben aus der Grundgesamtheit gezogen, mit Stichprobenumfängen n von 1.000 bis 50.000 (Schrittweite 5.000). Für jede Stichprobe wird das optimale Modell aus Abschnitt 3 trainiert und der geschätzte Beta-Wert einer erklärenden Variable (z.B. `avg_speed`) gespeichert. Die Verteilungen der geschätzten Beta-Werte werden für drei ausgewählte Stichprobenumfänge verglichen und der funktionale Zusammenhang zwischen n und der Standardabweichung der Schätzungen analysiert."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 17,
|
||
"id": "616ae484",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Stichprobenumfang: 0%| | 0/10 [00:00<?, ?it/s]c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"Stichprobenumfang: 10%|█ | 1/10 [03:03<27:30, 183.40s/it]c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"Stichprobenumfang: 10%|█ | 1/10 [03:03<27:30, 183.40s/it]c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"Stichprobenumfang: 20%|██ | 2/10 [06:34<26:35, 199.42s/it]c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
|
||
"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
|
||
"\n",
|
||
"Increase the number of iterations (max_iter) or scale the data as shown in:\n",
|
||
" https://scikit-learn.org/stable/modules/preprocessing.html\n",
|
||
"Please also refer to the documentation for alternative solver options:\n",
|
||
" https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
|
||
" n_iter_i = _check_optimize_result(\n",
|
||
"Stichprobenumfang: 100%|██████████| 10/10 [1:00:28<00:00, 362.82s/it]\n",
|
||
"Stichprobenumfang: 100%|██████████| 10/10 [1:00:28<00:00, 362.82s/it]\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import numpy as np\n",
|
||
"import pandas as pd\n",
|
||
"import matplotlib.pyplot as plt\n",
|
||
"import seaborn as sns\n",
|
||
"from tqdm import tqdm\n",
|
||
"from sklearn.linear_model import LogisticRegression\n",
|
||
"\n",
|
||
"k = 1000\n",
|
||
"n_values = np.arange(1000, 50001, 5000)\n",
|
||
"beta_name = 'avg_speed'\n",
|
||
"\n",
|
||
"betas_by_n = {}\n",
|
||
"\n",
|
||
"for n in tqdm(n_values, desc=\"Stichprobenumfang\"):\n",
|
||
" betas = []\n",
|
||
" for _ in range(k):\n",
|
||
" idx = np.random.choice(X.index, size=n, replace=False)\n",
|
||
" X_sub = X.iloc[idx]\n",
|
||
" y_sub = target[idx]\n",
|
||
" X_sub_enc = pd.get_dummies(X_sub, drop_first=True)\n",
|
||
" # Modell mit denselben Features wie das finale Modell aus Abschnitt 3\n",
|
||
" model = LogisticRegression(max_iter=200, solver='lbfgs')\n",
|
||
" model.fit(X_sub_enc, y_sub)\n",
|
||
" # Finde Index der gewünschten Variable\n",
|
||
" try:\n",
|
||
" beta_idx = list(X_sub_enc.columns).index(beta_name)\n",
|
||
" betas.append(model.coef_[0][beta_idx])\n",
|
||
" except ValueError:\n",
|
||
" betas.append(np.nan) # Falls Feature in kleiner Stichprobe fehlt\n",
|
||
" betas_by_n[n] = np.array(betas)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "28e0cb42",
|
||
"metadata": {},
|
||
"source": [
|
||
"### Vergleich der Verteilungen des geschätzten Beta-Werts für drei Stichprobenumfänge\n",
|
||
"\n",
|
||
"Im Folgenden werden die Verteilungen des geschätzten Beta-Werts für die erklärende Variable `avg_speed` für drei verschiedene Stichprobenumfänge (n = 1.000, 10.000, 50.000) graphisch verglichen."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 18,
|
||
"id": "b0bb7329",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"ename": "KeyError",
|
||
"evalue": "10000",
|
||
"output_type": "error",
|
||
"traceback": [
|
||
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
|
||
"\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)",
|
||
"Cell \u001b[1;32mIn[18], line 3\u001b[0m\n\u001b[0;32m 1\u001b[0m plt\u001b[38;5;241m.\u001b[39mfigure(figsize\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m12\u001b[39m, \u001b[38;5;241m6\u001b[39m))\n\u001b[0;32m 2\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m n \u001b[38;5;129;01min\u001b[39;00m [\u001b[38;5;241m1000\u001b[39m, \u001b[38;5;241m10000\u001b[39m, \u001b[38;5;241m50000\u001b[39m]:\n\u001b[1;32m----> 3\u001b[0m sns\u001b[38;5;241m.\u001b[39mkdeplot(betas_by_n[n][\u001b[38;5;241m~\u001b[39mnp\u001b[38;5;241m.\u001b[39misnan(betas_by_n[n])], label\u001b[38;5;241m=\u001b[39m\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mn=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mn\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 4\u001b[0m plt\u001b[38;5;241m.\u001b[39mtitle(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mVerteilung des geschätzten Beta-Werts für avg_speed bei verschiedenen Stichprobenumfängen\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 5\u001b[0m plt\u001b[38;5;241m.\u001b[39mxlabel(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mGeschätzter Beta-Wert für avg_speed\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
|
||
"\u001b[1;31mKeyError\u001b[0m: 10000"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1200x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"plt.figure(figsize=(12, 6))\n",
|
||
"for n in [1000, 10000, 50000]:\n",
|
||
" sns.kdeplot(betas_by_n[n][~np.isnan(betas_by_n[n])], label=f\"n={n}\")\n",
|
||
"plt.title(\"Verteilung des geschätzten Beta-Werts für avg_speed bei verschiedenen Stichprobenumfängen\")\n",
|
||
"plt.xlabel(\"Geschätzter Beta-Wert für avg_speed\")\n",
|
||
"plt.ylabel(\"Dichte\")\n",
|
||
"plt.legend()\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "990bb2a0",
|
||
"metadata": {},
|
||
"source": [
|
||
"**Interpretation:**\n",
|
||
"\n",
|
||
"Mit wachsendem Stichprobenumfang werden die Verteilungen der geschätzten Beta-Werte schmaler und konzentrieren sich stärker um den wahren Wert. Kleine Stichproben führen zu einer größeren Streuung und damit zu unsichereren Schätzungen."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "50ea2928",
|
||
"metadata": {},
|
||
"source": [
|
||
"### Funktionaler Zusammenhang zwischen n und der Standardabweichung des geschätzten Beta-Werts\n",
|
||
"\n",
|
||
"Für jeden Stichprobenumfang wird die Standardabweichung der geschätzten Beta-Werte berechnet und gegen n aufgetragen. Zusätzlich wird die theoretische Entwicklung der Standardabweichung nach der Formel $\\sigma(\\hat{\\beta}) \\propto 1/\\sqrt{n}$ eingezeichnet."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "cf7a7e61",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"stds = np.array([np.nanstd(betas_by_n[n]) for n in n_values])\n",
|
||
"\n",
|
||
"plt.figure(figsize=(10, 6))\n",
|
||
"plt.plot(n_values, stds, marker='o', label='Empirische Standardabweichung')\n",
|
||
"plt.plot(n_values, stds[0]*np.sqrt(n_values[0]/n_values), '--', label=r'$\\propto 1/\\sqrt{n}$')\n",
|
||
"plt.xlabel('Stichprobenumfang n')\n",
|
||
"plt.ylabel('Standardabweichung des geschätzten Beta-Werts')\n",
|
||
"plt.title('Zusammenhang zwischen Stichprobenumfang und Schätzgenauigkeit')\n",
|
||
"plt.legend()\n",
|
||
"plt.grid(True)\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "10afcd69",
|
||
"metadata": {},
|
||
"source": [
|
||
"**Fazit:**\n",
|
||
"\n",
|
||
"Die Standardabweichung der Schätzung eines Modellparameters nimmt mit wachsendem Stichprobenumfang näherungsweise proportional zu $1/\\sqrt{n}$ ab. Das bedeutet: Je mehr Daten zur Verfügung stehen, desto präziser und stabiler werden die Parameterschätzungen. Die Lernqualität eines Modells steigt also mit der Datenmenge, wobei der Zugewinn mit zunehmender Datenmenge abnimmt (abnehmender Grenznutzen)."
|
||
]
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "hft_ml",
|
||
"language": "python",
|
||
"name": "python3"
|
||
},
|
||
"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 3
|
||
},
|
||
"file_extension": ".py",
|
||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython3",
|
||
"version": "3.11.10"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
|