OpenML
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.voting_classifier.VotingClassifier(estimators__rf=sklearn.ensemble.forest.RandomForestClassifier,estimators__gb=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier))

sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.voting_classifier.VotingClassifier(estimators__rf=sklearn.ensemble.forest.RandomForestClassifier,estimators__gb=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier))

Visibility: public Uploaded 17-03-2017 by Thomas Hagebols sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 0 runs
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Automatically created sub-component.

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Parameters

cvdefault: null
error_scoredefault: "raise"
estimatordefault: {"oml-python:serialized_object": "component_reference", "value": {"step_name": null, "key": "estimator"}}
fit_params
iiddefault: true
n_jobsdefault: -1
param_griddefault: {"rf__oob_score": [true, false], "gb__learning_rate": [0.15, 0.2, 0.25], "gb__max_depth": [10], "gb__n_estimators": [200], "rf__criterion": ["entropy", "gini"]}
pre_dispatchdefault: "2*n_jobs"
refitdefault: true
return_train_scoredefault: true
scoringdefault: null
verbosedefault: 10

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