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sklearn.ensemble.voting_classifier.VotingClassifier(LogisticRegression_1=sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression),LogisticRegression_2=sklearn.pipeline.Pipeline(di=__main__.DI,robustscaler=sklearn.preprocessing.data.RobustScaler,lr=__main__.LR))

sklearn.ensemble.voting_classifier.VotingClassifier(LogisticRegression_1=sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression),LogisticRegression_2=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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Parameters

estimators		default: [{"oml-python:serialized_object": "component_reference", "value": {"step_name": "LogisticRegression_1", "key": "LogisticRegression_1"}}, {"oml-python:serialized_object": "component_reference", "value": {"step_name": "LogisticRegression_2", "key": "LogisticRegression_2"}}]
n_jobs		default: 1
voting		default: "soft"
weights		default: null

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