DEVELOPMENT... OpenML
Flow
sklearn.ensemble.voting_classifier.VotingClassifier(Standard=sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression),Robust=sklearn.pipeline.Pipeline(di=__main__.DI,robustscaler=sklearn.preprocessing.data.RobustScaler,lr=__main__.LR))

sklearn.ensemble.voting_classifier.VotingClassifier(Standard=sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression),Robust=sklearn.pipeline.Pipeline(di=__main__.DI,robustscaler=sklearn.preprocessing.data.RobustScaler,lr=__main__.LR))

Visibility: public Uploaded 04-04-2017 by Michael Torres 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": {"step_name": "Standard", "key": "Standard"}}, {"oml-python:serialized_object": "component_reference", "value": {"step_name": "Robust", "key": "Robust"}}]
n_jobsdefault: 1
votingdefault: "soft"
weightsdefault: null

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