1 0 public sklearn==0.18.1,xgboost==0.6 0 5770 0 Automatically created scikit-learn flow. sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,votingclassifier=sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.forest.ExtraTreesClassifier,voting=sklearn.ensemble.forest.RandomForestClassifier),voting=sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,voting=xgboost.sklearn.XGBClassifier))) sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,votingclassifier=sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.forest.ExtraTreesClassifier,voting=sklearn.ensemble.forest.RandomForestClassifier),voting=sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,voting=xgboost.sklearn.XGBClassifier))) 2017-01-13T14:27:39Z sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9