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drop_last_proba feature for stacking classifiers
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mlxtend/classifier/tests/test_stacking_cv_classifier.py

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@@ -506,7 +506,7 @@ def test_StackingClassifier_drop_last_proba():
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use_probas=True,
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drop_last_proba=True,
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meta_classifier=lr1)
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sclf3.fit(X_iris[0:100], y_iris[0:100]) # only 2 classes
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r3 = sclf3.predict_meta_features(X_iris[:2])
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assert r3.shape == (2, 2), r3.shape

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