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sklearn.ensemble.voting_classifier.VotingClassifier(estimators__random_state=sklearn.ensemble.forest.RandomForestClassifier)

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

Parameters

estimators		default: [{"oml-python:serialized_object": "component_reference", "value": {"step_name": "random_state", "key": "estimators__random_state"}}]
n_jobs		default: -1
voting		default: "soft"
weights		default: [1]

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sklearn.ensemble.voting_classifier.VotingClassifier(estimators__random_state=sklearn.ensemble.forest.RandomForestClassifier)

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