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János Szedelényi
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János's flows

sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.forest.RandomForestClassifier,voting=xgboost.sklearn.XGBClassifier,weights=sklearn.ensemble.forest.ExtraTreesClassifier) (1)
Automatically created scikit-learn flow.
4 runs0 likes0 downloads0 reach0 impact
sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.forest.RandomForestClassifier,voting=xgboost.sklearn.XGBClassifier,weights=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.forest.RandomForestClassifier,voting=sklearn.ensemble.forest.ExtraTreesClassifier,weights=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.forest.RandomForestClassifier,voting=sklearn.ensemble.forest.ExtraTreesClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(rf=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.forest.RandomForestClassifier,voting=sklearn.ensemble.forest.ExtraTreesClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)
Automatically created scikit-learn flow.
4 runs0 likes0 downloads0 reach1 impact
sklearn.ensemble.voting_classifier.VotingClassifier(voting=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.ensemble.voting_classifier.VotingClassifier(clf1=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(estimators__random_state=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created sub-component.
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sklearn.ensemble.voting_classifier.VotingClassifier(estimators__clf1=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created sub-component.
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sklearn.ensemble.voting_classifier.VotingClassifier(estimators__clf1=sklearn.ensemble.forest.RandomForestClassifier,estimators__clf2=sklearn.ensemble.forest.ExtraTreesClassifier,estimators__clf3=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)
Automatically created sub-component.
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sklearn.ensemble.voting_classifier.VotingClassifier(estimators__rf=sklearn.ensemble.forest.RandomForestClassifier,estimators__et=sklearn.ensemble.forest.ExtraTreesClassifier,estimators__gb=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)
Automatically created sub-component.
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sklearn.ensemble.voting_classifier.VotingClassifier(estimators__rf_gini=sklearn.ensemble.forest.RandomForestClassifier,estimators__et_gini=sklearn.ensemble.forest.ExtraTreesClassifier,estimators__gb=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier (3)
Automatically created sub-component.
108 runs0 likes0 downloads0 reach106 impact
sklearn.ensemble.forest.ExtraTreesClassifier (5)
Automatically created sub-component.
23 runs0 likes0 downloads0 reach22 impact