Flow
sklearn.pipeline.Pipeline(DualImputer=helper.dual_imputer.DualImputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,standardscaler=sklearn.preprocessing.data.StandardScaler,linearsvc=sklearn.svm.classes.LinearSVC)

sklearn.pipeline.Pipeline(DualImputer=helper.dual_imputer.DualImputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,standardscaler=sklearn.preprocessing.data.StandardScaler,linearsvc=sklearn.svm.classes.LinearSVC)

Visibility: public Uploaded 09-04-2017 by Jeroen van Hoof sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 0 runs
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
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": {"step_name": "DualImputer", "key": "DualImputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"step_name": "onehotencoder", "key": "onehotencoder"}}, {"oml-python:serialized_object": "component_reference", "value": {"step_name": "standardscaler", "key": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"step_name": "linearsvc", "key": "linearsvc"}}]

0
Runs

List all runs
Parameter:
Rendering chart
Rendering table