DEVELOPMENT... OpenML
Flow
sklearn.pipeline.Pipeline(pt1=helper.partial.PT1(transformer=helper.partial.IMP1),pt2=helper.partial.PT2(transformer=helper.partial.IMP2),pt3=helper.partial.PT3(transformer=sklearn.preprocessing.data.StandardScaler),onehotencoder=sklearn.preprocessing.data.OneHotEncoder,logisticregression=sklearn.linear_model.logistic.LogisticRegression)

sklearn.pipeline.Pipeline(pt1=helper.partial.PT1(transformer=helper.partial.IMP1),pt2=helper.partial.PT2(transformer=helper.partial.IMP2),pt3=helper.partial.PT3(transformer=sklearn.preprocessing.data.StandardScaler),onehotencoder=sklearn.preprocessing.data.OneHotEncoder,logisticregression=sklearn.linear_model.logistic.LogisticRegression)

Visibility: public Uploaded 22-03-2017 by Michael Torres sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 1 runs
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  • Verified_Supervised_Classification
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Automatically created scikit-learn flow.

Parameters

stepsdefault: [{"oml-python:serialized_object": "component_reference", "value": {"key": "pt1", "step_name": "pt1"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "pt2", "step_name": "pt2"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "pt3", "step_name": "pt3"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "logisticregression", "step_name": "logisticregression"}}]

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