DEVELOPMENT... OpenML
Flow
sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,selectfrommodel=sklearn.feature_selection.from_model.SelectFromModel(estimator=sklearn.ensemble.forest.ExtraTreesClassifier),svc=sklearn.svm.classes.SVC)

sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,selectfrommodel=sklearn.feature_selection.from_model.SelectFromModel(estimator=sklearn.ensemble.forest.ExtraTreesClassifier),svc=sklearn.svm.classes.SVC)

Visibility: public Uploaded 13-03-2017 by Erica Acosta sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 2 runs
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • Verified_Supervised_Classification
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
Automatically created scikit-learn flow.

Parameters

stepsdefault: [{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "selectfrommodel", "step_name": "selectfrommodel"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]

0
Runs

List all runs
Parameter:
Rendering chart
Rendering table