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data normalization sklean pipeline

  • Posted by MDS 
pipe_minmax = make_pipeline(MinMaxScaler(), LogisticRegression(max_iter=2000))

pipe_minmax.fit(X_train, y_train)

pipe_minmax.score(X_test, y_test)
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MDS

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