56aafda07e62498a4677a9c81b6c160a620d2811,tests.py,,test_StackingEstimator_3,#,1074

Before Change

    sklearn_pipeline = make_pipeline(stack_clf, meta_clf)

    cv_score1 = np.mean(cross_val_score(sklearn_pipeline, training_features, training_classes, cv=3, scoring="accuracy"))
    cv_score2 = np.mean(cross_val_score(meta_clf, training_features, training_classes, cv=3, scoring="accuracy"))

    known_score1 = 0.947282375315
    known_score2 = 0.948023167514

After Change

    meta_clf = LogisticRegression()
    sklearn_pipeline = make_pipeline(stack_clf, meta_clf)
    // fit in pipeline
    sklearn_pipeline.fit(training_features, training_classes)
    // fit step by step
    stack_clf.fit(training_features, training_classes)
    X_clf_transformed = stack_clf.transform(training_features)
    meta_clf.fit(X_clf_transformed, training_classes)

Instances