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sklearn.pipeline.Pipeline(steps__imputer=sklearn.preprocessing.imputation.Imputer,steps__onehotencoder=sklearn.preprocessing.data.OneHotEncoder,steps__zerocount=tpot.operators.preprocessors.zero_count.ZeroCount,steps__logisticregression=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created sub-component.
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sklearn.preprocessing.imputation.Imputer (3)
Automatically created sub-component.
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sklearn.preprocessing.data.OneHotEncoder (3)
Automatically created sub-component.
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tpot.operators.preprocessors.zero_count.ZeroCount (1)
Automatically created sub-component.
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__main__.PipelineWrapper(estimator__logisticregression=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created sub-component.
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__main__.PipelineWrapper(estimator__bernoullinb=sklearn.naive_bayes.BernoulliNB) (1)
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sklearn.naive_bayes.BernoulliNB (1)
Automatically created sub-component.
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__main__.PipelineWrapper (1)
Automatically created sub-component.
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flows.AutoSklearnFLow.AutoSklearnFlow (2)
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flows.AutoSklearnFLow.AutoSklearnFlow(preprocessor=sklearn.pipeline.Pipeline(steps__imputer=sklearn.preprocessing.imputation.Imputer,steps__onehotencoder=sklearn.preprocessing.data.OneHotEncoder,steps__variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold)) (1)
Automatically created sub-component.
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sklearn.pipeline.Pipeline(steps__imputer=sklearn.preprocessing.imputation.Imputer,steps__onehotencoder=sklearn.preprocessing.data.OneHotEncoder,steps__variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold) (1)
Automatically created sub-component.
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sklearn.feature_selection.variance_threshold.VarianceThreshold (2)
Automatically created sub-component.
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sklearn.pipeline.Pipeline(steps__imputer=sklearn.preprocessing.imputation.Imputer,steps__onehotencoder=sklearn.preprocessing.data.OneHotEncoder,steps__variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,steps__deepforest=DeepForest.DeepForest) (1)
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DeepForest.DeepForest (1)
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DeepForest.DeepForest(preprocessor=sklearn.pipeline.Pipeline(steps__imputer=sklearn.preprocessing.imputation.Imputer,steps__onehotencoder=sklearn.preprocessing.data.OneHotEncoder,steps__variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold)) (1)
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sklearn.pipeline.Pipeline(steps__imputer=sklearn.preprocessing.imputation.Imputer,steps__onehotencoder=sklearn.preprocessing.data.OneHotEncoder,steps__variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,steps__randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created sub-component.
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sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
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DeepForest.DeepForest (2)
Automatically created scikit-learn flow.
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DeepForest.DeepForest (3)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
xgboost.sklearn.XGBClassifier (4)
Automatically created scikit-learn flow.
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DeepForest.DeepForest (4)
Automatically created scikit-learn flow.
9 runs0 likes0 downloads0 reach0 impact
__main__.AUC_Booster (1)
Automatically created scikit-learn flow.
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__main__.AUCLGBMClassifier (1)
Automatically created scikit-learn flow.
52 runs0 likes0 downloads0 reach0 impact
Voter.Voter (1)
Automatically created scikit-learn flow.
5 runs0 likes1 downloads1 reach0 impact
sklearn.pipeline.Pipeline(pt1=helper.partial.PT1(transformer=helper.partial.IMP1),pt2=helper.partial.PT2(transformer=helper.partial.IMP2),pt3=helper.partial.PT3(transformer=sklearn.preprocessing.data.StandardScaler),onehotencoder=sklearn.preprocessing.data.OneHotEncoder,logisticregression=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
helper.partial.PT1(transformer=helper.partial.IMP1) (1)
Automatically created scikit-learn flow.
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helper.partial.IMP1 (1)
Automatically created scikit-learn flow.
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helper.partial.PT2(transformer=helper.partial.IMP2) (1)
Automatically created scikit-learn flow.
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helper.partial.IMP2 (1)
Automatically created scikit-learn flow.
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helper.partial.PT3(transformer=sklearn.preprocessing.data.StandardScaler) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,extratreesclassifier=sklearn.ensemble.forest.ExtraTreesClassifier) (1)
Automatically created scikit-learn flow.
34 runs0 likes0 downloads0 reach0 impact
helper.dual_imputer.DualImputer (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
28 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier) (1)
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
64 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,neuralnetwork=helper.nn.NeuralNetwork) (1)
Automatically created scikit-learn flow.
14 runs0 likes0 downloads0 reach0 impact
helper.nn.NeuralNetwork (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,kneighborsclassifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
22 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,pca=sklearn.decomposition.pca.PCA,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,pca=sklearn.decomposition.pca.PCA,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,polynomialfeatures=sklearn.preprocessing.data.PolynomialFeatures,standardscaler=sklearn.preprocessing.data.StandardScaler,pca=sklearn.decomposition.pca.PCA,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,polynomialfeatures=sklearn.preprocessing.data.PolynomialFeatures,pca=sklearn.decomposition.pca.PCA,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
9 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,polynomialfeatures=sklearn.preprocessing.data.PolynomialFeatures,pca=sklearn.decomposition.pca.PCA,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,pca=sklearn.decomposition.pca.PCA,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(minmaxscaler=sklearn.preprocessing.data.MinMaxScaler,pca=sklearn.decomposition.pca.PCA,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(minmaxscaler=sklearn.preprocessing.data.MinMaxScaler,polynomialfeatures=sklearn.preprocessing.data.PolynomialFeatures,pca=sklearn.decomposition.pca.PCA,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(polynomialfeatures=sklearn.preprocessing.data.PolynomialFeatures,minmaxscaler=sklearn.preprocessing.data.MinMaxScaler,pca=sklearn.decomposition.pca.PCA,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(svc=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
8 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,svc=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,robustscaler=sklearn.preprocessing.data.RobustScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,robustscaler=sklearn.preprocessing.data.RobustScaler,lr=__main__.LR) (1)
Automatically created scikit-learn flow.
5 runs0 likes0 downloads0 reach0 impact
__main__.LR (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(Standard=sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression),Robust=sklearn.pipeline.Pipeline(di=__main__.DI,robustscaler=sklearn.preprocessing.data.RobustScaler,lr=__main__.LR)) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(di=__main__.DI,robustscaler=sklearn.preprocessing.data.RobustScaler,lr=__main__.LR) (1)
Automatically created scikit-learn flow.
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__main__.DI (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(LogisticRegression_1=sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression),LogisticRegression_2=sklearn.pipeline.Pipeline(di=__main__.DI,robustscaler=sklearn.preprocessing.data.RobustScaler,lr=__main__.LR)) (1)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,pca=sklearn.decomposition.pca.PCA,extratreesclassifier=sklearn.ensemble.forest.ExtraTreesClassifier) (1)
Automatically created scikit-learn flow.
8 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,kneighborsclassifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,multinomialnb=sklearn.naive_bayes.MultinomialNB) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,kernelpca=sklearn.decomposition.kernel_pca.KernelPCA,kneighborsclassifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,kernelpca=sklearn.decomposition.kernel_pca.KernelPCA,svc=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
4 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,svc=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,kneighborsclassifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,selectfrommodel=sklearn.feature_selection.from_model.SelectFromModel(estimator=sklearn.ensemble.forest.ExtraTreesClassifier),kneighborsclassifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,selectfrommodel=sklearn.feature_selection.from_model.SelectFromModel(estimator=sklearn.ensemble.forest.ExtraTreesClassifier),kneighborsclassifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,nusvc=sklearn.svm.classes.NuSVC) (1)
Automatically created scikit-learn flow.
15 runs0 likes1 downloads1 reach0 impact
sklearn.svm.classes.NuSVC (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,nusvc=sklearn.svm.classes.NuSVC) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,pca=sklearn.decomposition.pca.PCA,nusvc=sklearn.svm.classes.NuSVC) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,pca=sklearn.decomposition.pca.PCA,variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,nusvc=sklearn.svm.classes.NuSVC) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,polynomialfeatures=sklearn.preprocessing.data.PolynomialFeatures,nusvc=sklearn.svm.classes.NuSVC) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,kernelpca=sklearn.decomposition.kernel_pca.KernelPCA,nusvc=sklearn.svm.classes.NuSVC) (1)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,lgbmclassifier=lightgbm.sklearn.LGBMClassifier) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
lightgbm.sklearn.LGBMClassifier (1)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,gaussiannb=sklearn.naive_bayes.GaussianNB) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,nusvc=sklearn.svm.classes.NuSVC) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,votingclassifier=sklearn.ensemble.voting_classifier.VotingClassifier(RFC=sklearn.ensemble.forest.RandomForestClassifier,ETC=sklearn.ensemble.forest.ExtraTreesClassifier)) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(RFC=sklearn.ensemble.forest.RandomForestClassifier,ETC=sklearn.ensemble.forest.ExtraTreesClassifier) (1)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,votingclassifier=sklearn.ensemble.voting_classifier.VotingClassifier(RandomForestClassifier=sklearn.ensemble.forest.RandomForestClassifier,ExtraTreesClassifier=sklearn.ensemble.forest.ExtraTreesClassifier)) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(RandomForestClassifier=sklearn.ensemble.forest.RandomForestClassifier,ExtraTreesClassifier=sklearn.ensemble.forest.ExtraTreesClassifier) (1)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,voter=helper.voter.Voter) (1)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
helper.voter.Voter (1)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
__main__.Wrapper (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier) (1)
Automatically created scikit-learn flow.
17 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)
Automatically created scikit-learn flow.
6 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(DualImputer=helper.dual_imputer.DualImputer,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)
Automatically created scikit-learn flow.
10 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(nystroem=sklearn.kernel_approximation.Nystroem,svc=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
sklearn.kernel_approximation.Nystroem (1)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(DualImputer=helper.dual_imputer.DualImputer,adaboostclassifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(DualImputer=helper.dual_imputer.DualImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,linearsvc=sklearn.svm.classes.LinearSVC) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(DualImputer=helper.dual_imputer.DualImputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,standardscaler=sklearn.preprocessing.data.StandardScaler,linearsvc=sklearn.svm.classes.LinearSVC) (1)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(DualImputer=helper.dual_imputer.DualImputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,standardscaler=sklearn.preprocessing.data.StandardScaler,nusvc=sklearn.svm.classes.NuSVC) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(DualImputer=helper.dual_imputer.DualImputer,logisticregression=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(DualImputer=helper.dual_imputer.DualImputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
lightgbm.sklearn.LGBMClassifier (2)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
versus_full.hyperboost.HyperBoost (1)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact