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sklearn.preprocessing.data.RobustScaler (2)
Automatically created scikit-learn flow.
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sklearn.preprocessing.data.Normalizer (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(clf=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.RobustScaler,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
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mlr.classif.randomForest (38)
Learner mlr.classif.randomForest from package(s) randomForest.
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mlr.classif.randomForest.filtered (7)
Learner mlr.classif.randomForest.filtered from package(s) randomForest.
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mlr.classif.randomForest.oversampled (3)
Learner mlr.classif.randomForest.oversampled from package(s) mlr, randomForest.
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mlr.classif.randomForest.imputed (2)
Learner mlr.classif.randomForest.imputed from package(s) randomForest.
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mlr.classif.randomForest.filtered.oversampled (5)
Learner mlr.classif.randomForest.filtered.oversampled from package(s) mlr, randomForest.
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mlr.classif.rpart.imputed.filtered (10)
Learner mlr.classif.rpart.imputed.filtered from package(s) rpart.
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sklearn.feature_selection.univariate_selection.SelectKBest (2)
Automatically created scikit-learn flow.
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sklearn.preprocessing.data.Binarizer (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(transformer=sklearn.preprocessing.data.StandardScaler,estimator=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(bnb=sklearn.naive_bayes.BernoulliNB) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,estimator=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(transformer=sklearn.preprocessing.data.StandardScaler,reduction=sklearn.decomposition.pca.PCA,estimator=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(lr=sklearn.linear_model.logistic.LogisticRegression,knn=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(lr=sklearn.linear_model.logistic.LogisticRegression,knn=sklearn.neighbors.classification.KNeighborsClassifier,rf=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(knn=sklearn.neighbors.classification.KNeighborsClassifier,rf=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(knn=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(knn=sklearn.neighbors.classification.KNeighborsClassifier,svc=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
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sklearn.feature_selection.from_model.SelectFromModel(estimator=sklearn.ensemble.forest.RandomForestClassifier) (2)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.StandardScaler,Classifier=sklearn.linear_model.stochastic_gradient.SGDClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.MinMaxScaler,Classifier=sklearn.linear_model.stochastic_gradient.SGDClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.RobustScaler,Classifier=sklearn.linear_model.stochastic_gradient.SGDClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.preprocessing.data.MinMaxScaler (4)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(svc=sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.StandardScaler,PCA=sklearn.decomposition.pca.PCA,Classifier=sklearn.svm.classes.SVC),kn=sklearn.neighbors.classification.KNeighborsClassifier,gnb=sklearn.naive_bayes.GaussianNB,logreg=sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.RobustScaler,Classifier=sklearn.linear_model.logistic.LogisticRegression)) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.Normalizer,Classifier=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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keras.wrappers.scikit_learn.KerasClassifier (3)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(svc=sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.StandardScaler,PCA=sklearn.decomposition.pca.PCA,Classifier=sklearn.svm.classes.SVC),kn=sklearn.neighbors.classification.KNeighborsClassifier,gnb=sklearn.naive_bayes.GaussianNB,logreg=sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.Normalizer,Classifier=sklearn.linear_model.logistic.LogisticRegression),xgb=xgboost.sklearn.XGBClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(svc=sklearn.svm.classes.SVC,kn=sklearn.neighbors.classification.KNeighborsClassifier,gnb=sklearn.naive_bayes.GaussianNB,logreg=sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.Normalizer,Classifier=sklearn.linear_model.logistic.LogisticRegression),xgb=xgboost.sklearn.XGBClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.random_projection.GaussianRandomProjection (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(knn=sklearn.neighbors.classification.KNeighborsClassifier,LR=sklearn.linear_model.logistic.LogisticRegression,rfc=sklearn.ensemble.forest.RandomForestClassifier,gnb=sklearn.naive_bayes.GaussianNB) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Classifier2=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Scaler1=sklearn.preprocessing.data.Normalizer,PCA1=sklearn.decomposition.pca.PCA,Classifier1=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.decomposition.pca.PCA (3)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Classifier3=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Scaler1=sklearn.preprocessing.data.StandardScaler,PCA1=sklearn.decomposition.pca.PCA,Classifier1=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.gradient_boosting.GradientBoostingClassifier (12)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.StandardScaler,Classifier=xgboost.sklearn.XGBClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,Scaler=sklearn.preprocessing.data.StandardScaler,Classifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(kneighborsclassifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(logisticregression=sklearn.linear_model.logistic.LogisticRegression) (2)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (2)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier) (2)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,Scaler=sklearn.preprocessing.data.MinMaxScaler,Classifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Classifier3=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,Scaler=sklearn.preprocessing.data.RobustScaler,Classifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,pca=sklearn.decomposition.pca.PCA,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,bernoullinb=sklearn.naive_bayes.BernoulliNB) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.weight_boosting.AdaBoostClassifier (7)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(pipe=sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.StandardScaler,Decomposition=sklearn.decomposition.pca.PCA,Classifier=sklearn.linear_model.logistic.LogisticRegression),dt=sklearn.tree.tree.DecisionTreeClassifier,knn=sklearn.neighbors.classification.KNeighborsClassifier,svc=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.StandardScaler,Decomposition=sklearn.decomposition.pca.PCA,Classifier=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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imblearn.over_sampling.smote.SMOTE (1)
Automatically created scikit-learn flow.
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imblearn.over_sampling.smote.SMOTE (2)
Automatically created scikit-learn flow.
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imblearn.over_sampling.adasyn.ADASYN (1)
Automatically created scikit-learn flow.
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sklearn.grid_search.GridSearchCV(estimator=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.decomposition.factor_analysis.FactorAnalysis (1)
Automatically created scikit-learn flow.
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imblearn.over_sampling.adasyn.ADASYN (2)
Automatically created scikit-learn flow.
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sklearn.grid_search.GridSearchCV(estimator=sklearn.ensemble.weight_boosting.AdaBoostClassifier) (1)
Automatically created scikit-learn flow.
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imblearn.over_sampling.random_over_sampler.RandomOverSampler (1)
Automatically created scikit-learn flow.
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sklearn.decomposition.pca.PCA (4)
Automatically created scikit-learn flow.
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sklearn.ensemble.bagging.BaggingClassifier (3)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,gbc=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(SVC=sklearn.svm.classes.SVC,LR=sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,logisticregression=sklearn.linear_model.logistic.LogisticRegression),KNN=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,logisticregression=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.StandardScaler,test=sklearn.feature_selection.univariate_selection.SelectKBest,classifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.voting_classifier.VotingClassifier(svm=sklearn.svm.classes.SVC,lr=sklearn.linear_model.logistic.LogisticRegression,rf=sklearn.ensemble.forest.RandomForestClassifier,gnb=sklearn.naive_bayes.GaussianNB)) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(svm=sklearn.svm.classes.SVC,lr=sklearn.linear_model.logistic.LogisticRegression,rf=sklearn.ensemble.forest.RandomForestClassifier,gnb=sklearn.naive_bayes.GaussianNB) (1)
Automatically created scikit-learn flow.
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sklearn.preprocessing.data.RobustScaler (3)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(dimensionality_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.StandardScaler,rf_select=sklearn.feature_selection.from_model.SelectFromModel(estimator=sklearn.ensemble.forest.RandomForestClassifier),knn=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.MinMaxScaler,dimensionality_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.neighbors.classification.KNeighborsClassifier) (2)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(knn=sklearn.neighbors.classification.KNeighborsClassifier,rf=sklearn.ensemble.forest.RandomForestClassifier) (2)
Automatically created scikit-learn flow.
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keras.wrappers.scikit_learn.KerasClassifier (4)
Automatically created scikit-learn flow.
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hyperimp.utils.preprocessing.ConditionalImputer (1)
Automatically created scikit-learn flow.
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weka.RandomizableFilteredClassifier (3)
Weka implementation of RandomizableFilteredClassifier
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hyperimp.utils.preprocessing.ConditionalImputer2 (1)
Automatically created scikit-learn flow.
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weka.PART (7)
Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
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weka.LinearRegression (10)
Weka implementation of LinearRegression
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weka.AttributeSelectedClassifier (3)
Weka implementation of AttributeSelectedClassifier
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mlr.classif.rpart.imputed.filtered (11)
Learner mlr.classif.rpart.imputed.filtered from package(s) rpart.
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rm.process(h2o:deep_learning) (1)
A RapidMiner Flow
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rm.process(split_data,k_nn) (1)
A RapidMiner Flow
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rm.process(k_nn) (1)
A RapidMiner Flow
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keras.wrappers.scikit_learn.KerasClassifier(layer0=keras.layers.core.Dense,layer1=keras.layers.core.Dropout,layer2=keras.layers.core.Dense,layer3=keras.layers.core.Dropout,layer4=keras.layers.core.Dense) (1)
Automatically created scikit-learn flow.
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keras.layers.core.Dense (1)
Automatically created scikit-learn flow.
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keras.layers.core.Dropout (1)
Automatically created scikit-learn flow.
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mlr.classif.randomForest (40)
Learner mlr.classif.randomForest from package(s) randomForest.
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mlr.classif.rpart (51)
Learner mlr.classif.rpart from package(s) rpart.
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rm.process(select_by_random,h2o:deep_learning) (1)
A RapidMiner Flow
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rm.process(h2o:deep_learning) (2)
A RapidMiner Flow
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sklearn.tree.tree.ExtraTreeClassifier (14)
Automatically created scikit-learn flow.
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sklearn.preprocessing.imputation.Imputer (19)
Automatically created scikit-learn flow.
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sklearn.preprocessing.data.OneHotEncoder (19)
Automatically created scikit-learn flow.
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sklearn.preprocessing.imputation.Imputer (20)
Automatically created scikit-learn flow.
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weka.AdditiveRegression (1)
J.H. Friedman (1999). Stochastic Gradient Boosting.
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mlr.regr.glm (1)
Learner mlr.regr.glm from package(s) stats.
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mlr.classif.naiveBayes (10)
Learner mlr.classif.naiveBayes from package(s) e1071.
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