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sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(steps__OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,steps__scaler=sklearn.preprocessing.data.StandardScaler,steps__select=sklearn.feature_selection.univariate_selection.SelectPercentile,steps__model=sklearn.svm.classes.SVC))

sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(steps__OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,steps__scaler=sklearn.preprocessing.data.StandardScaler,steps__select=sklearn.feature_selection.univariate_selection.SelectPercentile,steps__model=sklearn.svm.classes.SVC))

Visibility: public Uploaded 16-03-2017 by Suraj Iyer sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 0 runs
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Automatically created sub-component.

Components

Parameters

cvdefault: 3
error_scoredefault: "raise"
estimatordefault: {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": null}}
fit_params
iiddefault: true
n_jobsdefault: 1
param_grid
pre_dispatchdefault: "2*n_jobs"
refitdefault: true
return_train_scoredefault: true
scoringdefault: null
verbosedefault: 10

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