Flow
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier)

sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier)

Visibility: public Uploaded 07-04-2017 by Jeroen van Hoof 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": {"step_name": "dualimputer", "key": "dualimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"step_name": "onehotencoder", "key": "onehotencoder"}}, {"oml-python:serialized_object": "component_reference", "value": {"step_name": "randomforestclassifier", "key": "randomforestclassifier"}}]

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Rendering chart
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