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WinMango Full 47.0.1.8 config file rokdownload

WinMango Full 47.0.1.8 config file rokdownload



 
 
 
 
 
 
 

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Python sklearn’s BayesClassifier: Unable to obtain probability using scoredClassifier_ = bayes.BernoulliNB()

I’m learning to use Bayes Classifier in Python using sklearn library.
I’ve successfully gotten error:
ValueError: Cannot compute (deterministic) inverse CDF with `n_iter` = 1

And I’ve found some solutions on this ( but I’m getting error for other values of n_iter as well.
Here is my code:
from sklearn.linear_model import LogisticRegression
from sklearn.feature_extraction.text import TfidfVectorizer
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.naive_bayes import BernoulliNB
from sklearn.naive_bayes import MultinomialNB
from sklearn.naive_bayes import GaussianNB
from sklearn.model_selection import train_test_split

model = LogisticRegression()
vectorizer = TfidfVectorizer(max_features=100000, stop

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