Flow
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,standardscaler=sklearn.preprocessing.data.StandardScaler,functiontransformer=sklearn.preprocessing._function_transformer.FunctionTransformer,featureagglomeration=sklearn.cluster.hierarchical.FeatureAgglomeration,sgdclassifier=sklearn.linear_model.stochastic_gradient.SGDClassifier)

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,standardscaler=sklearn.preprocessing.data.StandardScaler,functiontransformer=sklearn.preprocessing._function_transformer.FunctionTransformer,featureagglomeration=sklearn.cluster.hierarchical.FeatureAgglomeration,sgdclassifier=sklearn.linear_model.stochastic_gradient.SGDClassifier)

Visibility: public Uploaded 23-08-2018 by Edilson Correa Jr. sklearn==0.19.2 numpy>=1.6.1 scipy>=0.9 3 runs
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  • openml-python python scikit-learn sklearn sklearn_0.19.2
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Automatically created scikit-learn flow.

Parameters

memorydefault: null
stepsdefault: [{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "functiontransformer", "step_name": "functiontransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "featureagglomeration", "step_name": "featureagglomeration"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "sgdclassifier", "step_name": "sgdclassifier"}}]

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