Flow
sklearn.pipeline.Pipeline(steps__Imputer=sklearn.preprocessing.imputation.Imputer,steps__preprocessing=sklearn.preprocessing.data.StandardScaler,steps__select=sklearn.feature_selection.univariate_selection.SelectPercentile,steps__classifier=sklearn.ensemble.forest.RandomForestClassifier)

sklearn.pipeline.Pipeline(steps__Imputer=sklearn.preprocessing.imputation.Imputer,steps__preprocessing=sklearn.preprocessing.data.StandardScaler,steps__select=sklearn.feature_selection.univariate_selection.SelectPercentile,steps__classifier=sklearn.ensemble.forest.RandomForestClassifier)

Visibility: public Uploaded 17-03-2017 by Luis Armando Perez Rey 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 sub-component.

Parameters

stepsdefault: [{"oml-python:serialized_object": "component_reference", "value": {"key": "steps__Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "steps__preprocessing", "step_name": "preprocessing"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "steps__select", "step_name": "select"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "steps__classifier", "step_name": "classifier"}}]

0
Runs

List all runs
Parameter:
Rendering chart
Rendering table