DEVELOPMENT... OpenML
Flow
sklearn.pipeline.Pipeline(preprocessing=sklearn.compose._column_transformer.ColumnTransformer(num_imputer=sklearn.impute.SimpleImputer,basic_encoder=category_encoders.one_hot.OneHotEncoder),preprocessing2=sklearn.compose._column_transformer.ColumnTransformer(non_binary_imputer=__main__.SimpleImputer2),algorithm=sklearn.ensemble.forest.RandomForestClassifier)

sklearn.pipeline.Pipeline(preprocessing=sklearn.compose._column_transformer.ColumnTransformer(num_imputer=sklearn.impute.SimpleImputer,basic_encoder=category_encoders.one_hot.OneHotEncoder),preprocessing2=sklearn.compose._column_transformer.ColumnTransformer(non_binary_imputer=__main__.SimpleImputer2),algorithm=sklearn.ensemble.forest.RandomForestClassifier)

Visibility: public Uploaded 06-03-2019 by Arnold sklearn==0.20.3 numpy>=1.6.1 scipy>=0.9 1 runs
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  • openml-python python scikit-learn sklearn sklearn_0.20.3
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Automatically created scikit-learn flow.

Parameters

memorydefault: null
stepsdefault: [{"oml-python:serialized_object": "component_reference", "value": {"key": "preprocessing", "step_name": "preprocessing"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "preprocessing2", "step_name": "preprocessing2"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "algorithm", "step_name": "algorithm"}}]

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