OpenML
sklearn.ensemble.voting_classifier.VotingClassifier(estimators__clf1=sklearn.ensemble.forest.RandomForestClassifier,estimators__clf2=sklearn.ensemble.forest.ExtraTreesClassifier,estimators__clf3=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)

sklearn.ensemble.voting_classifier.VotingClassifier(estimators__clf1=sklearn.ensemble.forest.RandomForestClassifier,estimators__clf2=sklearn.ensemble.forest.ExtraTreesClassifier,estimators__clf3=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)

Visibility: public Uploaded 09-03-2017 by János Szedelényi sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 0 runs
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Automatically created sub-component.

Parameters

estimatorsdefault: [{"oml-python:serialized_object": "component_reference", "value": {"step_name": "clf1", "key": "estimators__clf1"}}, {"oml-python:serialized_object": "component_reference", "value": {"step_name": "clf2", "key": "estimators__clf2"}}, {"oml-python:serialized_object": "component_reference", "value": {"step_name": "clf3", "key": "estimators__clf3"}}]
n_jobsdefault: -1
votingdefault: "soft"
weightsdefault: [1, 1, 1]

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