DEVELOPMENT... OpenML
Flow
sklearn.ensemble.voting_classifier.VotingClassifier(extra=sklearn.ensemble.forest.ExtraTreesClassifier,rf=sklearn.ensemble.forest.RandomForestClassifier,gradboost=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,xgboost=xgboost.sklearn.XGBClassifier)

sklearn.ensemble.voting_classifier.VotingClassifier(extra=sklearn.ensemble.forest.ExtraTreesClassifier,rf=sklearn.ensemble.forest.RandomForestClassifier,gradboost=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,xgboost=xgboost.sklearn.XGBClassifier)

Visibility: public Uploaded 12-03-2017 by Shawn sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 0 runs
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Automatically created scikit-learn flow.

Parameters

estimatorsdefault: [{"oml-python:serialized_object": "component_reference", "value": {"key": "extra", "step_name": "extra"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "rf", "step_name": "rf"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradboost", "step_name": "gradboost"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "xgboost", "step_name": "xgboost"}}]
n_jobsdefault: 1
votingdefault: "soft"
weightsdefault: null

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