OpenML
sklearn.pipeline.Pipeline(steps__scaling=sklearn.preprocessing.data.StandardScaler,steps__classifier=sklearn.ensemble.voting_classifier.VotingClassifier(estimators__extra=sklearn.ensemble.forest.ExtraTreesClassifier,estimators__rf=sklearn.ensemble.forest.RandomForestClassifier,estimators__gradboost=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,estimators__xgboost=xgboost.sklearn.XGBClassifier))

sklearn.pipeline.Pipeline(steps__scaling=sklearn.preprocessing.data.StandardScaler,steps__classifier=sklearn.ensemble.voting_classifier.VotingClassifier(estimators__extra=sklearn.ensemble.forest.ExtraTreesClassifier,estimators__rf=sklearn.ensemble.forest.RandomForestClassifier,estimators__gradboost=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,estimators__xgboost=xgboost.sklearn.XGBClassifier))

Visibility: public Uploaded 12-03-2017 by Joost Visser sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 0 runs
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Automatically created sub-component.

Parameters

stepsdefault: [{"oml-python:serialized_object": "component_reference", "value": {"key": "steps__scaling", "step_name": "scaling"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "steps__classifier", "step_name": "classifier"}}]

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Parameter:
Rendering chart
Rendering table