DEVELOPMENT... OpenML
Flow
sklearn.ensemble.voting_classifier.VotingClassifier(DecisionTreeClassifier=sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier),KNN=sklearn.neighbors.classification.KNeighborsClassifier,RFC=sklearn.ensemble.forest.RandomForestClassifier)

sklearn.ensemble.voting_classifier.VotingClassifier(DecisionTreeClassifier=sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier),KNN=sklearn.neighbors.classification.KNeighborsClassifier,RFC=sklearn.ensemble.forest.RandomForestClassifier)

Visibility: public Uploaded 24-04-2017 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": "DecisionTreeClassifier", "key": "DecisionTreeClassifier"}}, {"oml-python:serialized_object": "component_reference", "value": {"step_name": "KNN", "key": "KNN"}}, {"oml-python:serialized_object": "component_reference", "value": {"step_name": "RFC", "key": "RFC"}}]
n_jobsdefault: 1
votingdefault: "soft"
weightsdefault: null

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