OpenML
sklearn.pipeline.Pipeline(steps__imputer=sklearn.preprocessing.imputation.Imputer,steps__onehotencoder=sklearn.preprocessing.data.OneHotEncoder,steps__variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,steps__deepforest=DeepForest.DeepForest)

sklearn.pipeline.Pipeline(steps__imputer=sklearn.preprocessing.imputation.Imputer,steps__onehotencoder=sklearn.preprocessing.data.OneHotEncoder,steps__variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,steps__deepforest=DeepForest.DeepForest)

Visibility: public Uploaded 11-03-2017 by Jeroen van Hoof sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 0 runs
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Automatically created sub-component.

Parameters

stepsdefault: [{"oml-python:serialized_object": "component_reference", "value": {"step_name": "imputer", "key": "steps__imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"step_name": "onehotencoder", "key": "steps__onehotencoder"}}, {"oml-python:serialized_object": "component_reference", "value": {"step_name": "variancethreshold", "key": "steps__variancethreshold"}}, {"oml-python:serialized_object": "component_reference", "value": {"step_name": "deepforest", "key": "steps__deepforest"}}]

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