OpenML
sklearn.ensemble.voting_classifier.VotingClassifier(voting=sklearn.ensemble.forest.RandomForestClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=__main__.AUCBooster)

sklearn.ensemble.voting_classifier.VotingClassifier(voting=sklearn.ensemble.forest.RandomForestClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=__main__.AUCBooster)

Visibility: public Uploaded 16-03-2017 by Joost Visser sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 0 runs
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Automatically created scikit-learn flow.

Components

votingsklearn.ensemble.forest.RandomForestClassifier(16)
weightssklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)
n_jobs__main__.AUCBooster(1)

Parameters

estimatorsdefault: [{"oml-python:serialized_object": "component_reference", "value": {"key": "voting", "step_name": "voting"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "weights", "step_name": "weights"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "n_jobs", "step_name": "n_jobs"}}]
n_jobsdefault: -1
votingdefault: "soft"
weightsdefault: [2, 3, 3]

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