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nlauchande/logistic_regression_pipeline.py

Last active September 1, 2019 13:47
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logistic_regression_pipeline.py
train, test = train_test_split(final_dataset, random_state=42, test_size=0.33, shuffle=True)
X_train = train.text
X_test = test.text
LogReg_pipeline = Pipeline([
('tfidf', TfidfVectorizer(sublinear_tf=True, min_df=5, norm='l2', encoding='latin-1', ngram_range=(1, 2), stop_words='english')),
('clf',LogisticRegression(solver='sag'),),
])
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