DEVELOPMENT... OpenML
Flow
sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.forest.RandomForestClassifier,voting=sklearn.ensemble.forest.ExtraTreesClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)

sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.forest.RandomForestClassifier,voting=sklearn.ensemble.forest.ExtraTreesClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)

Visibility: public Uploaded 09-03-2017 by Kyle Love sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 4 runs
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  • Verified_Supervised_Classification
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Automatically created scikit-learn flow.

Components

estimatorssklearn.ensemble.forest.RandomForestClassifier(16)
votingsklearn.ensemble.forest.ExtraTreesClassifier(5)
weightssklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)

Parameters

estimatorsdefault: [{"oml-python:serialized_object": "component_reference", "value": {"step_name": "estimators", "key": "estimators"}}, {"oml-python:serialized_object": "component_reference", "value": {"step_name": "voting", "key": "voting"}}, {"oml-python:serialized_object": "component_reference", "value": {"step_name": "weights", "key": "weights"}}]
n_jobsdefault: -1
votingdefault: "soft"
weightsdefault: [1, 1, 1]

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