Flow
sklearn.pipeline.Pipeline(featureunion=sklearn.pipeline.FeatureUnion(featureunion=sklearn.pipeline.FeatureUnion(decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier,extratreeclassifier=sklearn.tree.tree.ExtraTreeClassifier),functiontransformer=sklearn.preprocessing._function_transformer.FunctionTransformer),logisticregression=sklearn.linear_model.logistic.LogisticRegression)

sklearn.pipeline.Pipeline(featureunion=sklearn.pipeline.FeatureUnion(featureunion=sklearn.pipeline.FeatureUnion(decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier,extratreeclassifier=sklearn.tree.tree.ExtraTreeClassifier),functiontransformer=sklearn.preprocessing._function_transformer.FunctionTransformer),logisticregression=sklearn.linear_model.logistic.LogisticRegression)

Visibility: public Uploaded 24-04-2017 by Jeroen van Hoof sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 0 runs
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Automatically created scikit-learn flow.

Parameters

stepsdefault: [{"oml-python:serialized_object": "component_reference", "value": {"key": "featureunion", "step_name": "featureunion"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "logisticregression", "step_name": "logisticregression"}}]

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Rendering chart
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