DEVELOPMENT... OpenML
Flow
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,pca=sklearn.decomposition.pca.PCA,variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,nusvc=sklearn.svm.classes.NuSVC)

sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,pca=sklearn.decomposition.pca.PCA,variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,nusvc=sklearn.svm.classes.NuSVC)

Visibility: public Uploaded 06-04-2017 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": "dualimputer", "step_name": "dualimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "pca", "step_name": "pca"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "variancethreshold", "step_name": "variancethreshold"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nusvc", "step_name": "nusvc"}}]

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