OpenML

George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.

0 runs0 likes0 downloads0 reach0 impact

weka.classifiers.meta.MultiSearch(weka.classifiers.meta.multisearch.RandomSearch,weka.classifiers.meta.FilteredClassifier(weka.filters.MultiFilter(weka.filters.unsupervised.attribute.ReplaceMissingValues,weka.filters.unsupervised.attribute.RemoveUseless,weka.filters.unsupervised.attribute.Normalize),weka.classifiers.trees.RandomForest)) (1)

Weka implementation.

80 runs0 likes0 downloads0 reach0 impact

weka.classifiers.meta.FilteredClassifier(weka.filters.MultiFilter(weka.filters.unsupervised.attribute.ReplaceMissingValues,weka.filters.unsupervised.attribute.RemoveUseless,weka.filters.unsupervised.attribute.Normalize),weka.classifiers.trees.RandomForest) (1)

Weka implementation.

0 runs0 likes0 downloads0 reach0 impact

weka.classifiers.trees.RandomForest (1)

Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.

62 runs0 likes0 downloads0 reach0 impact

weka.classifiers.meta.MultiSearch(weka.classifiers.meta.multisearch.RandomSearch,weka.classifiers.meta.FilteredClassifier(weka.filters.MultiFilter(weka.filters.unsupervised.attribute.ReplaceMissingValues,weka.filters.unsupervised.attribute.RemoveUseless,weka.filters.unsupervised.attribute.Normalize),weka.classifiers.trees.J48)) (1)

Weka implementation.

87 runs0 likes0 downloads0 reach0 impact

weka.classifiers.meta.FilteredClassifier(weka.filters.MultiFilter(weka.filters.unsupervised.attribute.ReplaceMissingValues,weka.filters.unsupervised.attribute.RemoveUseless,weka.filters.unsupervised.attribute.Normalize),weka.classifiers.trees.J48) (1)

Weka implementation.

0 runs0 likes0 downloads0 reach0 impact

weka.classifiers.trees.J48 (1)

Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.

68 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier) (4)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.tree.tree.DecisionTreeClassifier (25)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier) (5)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.tree.tree.DecisionTreeClassifier (26)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.svm.classes.SVC (21)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.svm.classes.SVC) (2)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,scaler=sklearn.preprocessing.data.StandardScaler,estimator=sklearn.svm.classes.SVC) (1)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.preprocessing.data.StandardScaler (11)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,Categorial=sklearn.preprocessing.data.OneHotEncoder,scaler=sklearn.preprocessing.data.StandardScaler,estimator=sklearn.svm.classes.SVC) (1)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.ensemble.weight_boosting.AdaBoostClassifier (8)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier) (6)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.tree.tree.DecisionTreeClassifier (27)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,classifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)) (1)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,Categorial=sklearn.preprocessing.data.OneHotEncoder,scaler=sklearn.preprocessing.data.StandardScaler,estimator=sklearn.svm.classes.SVC) (2)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.preprocessing.data.StandardScaler (12)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,scaler=sklearn.preprocessing.data.StandardScaler,estimator=sklearn.svm.classes.SVC) (2)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,Categorial=sklearn.preprocessing.data.OneHotEncoder,scaler=sklearn.preprocessing.data.StandardScaler,estimator=sklearn.ensemble.forest.RandomForestClassifier) (1)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,scaler=sklearn.preprocessing.data.StandardScaler,estimator=sklearn.ensemble.forest.RandomForestClassifier) (1)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(sgdclassifier=sklearn.linear_model.stochastic_gradient.SGDClassifier) (1)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.linear_model.stochastic_gradient.SGDClassifier (7)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(normalizer=sklearn.preprocessing.data.Normalizer,featureagglomeration=sklearn.cluster.hierarchical.FeatureAgglomeration,sgdclassifier=sklearn.linear_model.stochastic_gradient.SGDClassifier) (1)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.preprocessing.data.Normalizer (2)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.cluster.hierarchical.FeatureAgglomeration (2)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing.data.OneHotEncoder,normalizer=sklearn.preprocessing.data.Normalizer,functiontransformer=sklearn.preprocessing._function_transformer.FunctionTransformer,featureagglomeration=sklearn.cluster.hierarchical.FeatureAgglomeration,sgdclassifier=sklearn.linear_model.stochastic_gradient.SGDClassifier) (1)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.preprocessing._function_transformer.FunctionTransformer (3)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing.data.OneHotEncoder,standardscaler=sklearn.preprocessing.data.StandardScaler,functiontransformer=sklearn.preprocessing._function_transformer.FunctionTransformer,featureagglomeration=sklearn.cluster.hierarchical.FeatureAgglomeration,sgdclassifier=sklearn.linear_model.stochastic_gradient.SGDClassifier) (1)

Automatically created scikit-learn flow.

3 runs0 likes0 downloads0 reach0 impact

sklearn.preprocessing.data.StandardScaler (13)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,standardscaler=sklearn.preprocessing.data.StandardScaler,functiontransformer=sklearn.preprocessing._function_transformer.FunctionTransformer,featureagglomeration=sklearn.cluster.hierarchical.FeatureAgglomeration,sgdclassifier=sklearn.linear_model.stochastic_gradient.SGDClassifier) (1)

Automatically created scikit-learn flow.

3 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(1=sklearn.preprocessing.imputation.Imputer,2=sklearn.preprocessing.data.OneHotEncoder,3=sklearn.preprocessing.data.StandardScaler,4=sklearn.preprocessing._function_transformer.FunctionTransformer,5=sklearn.cluster.hierarchical.FeatureAgglomeration,6=sklearn.linear_model.stochastic_gradient.SGDClassifier) (1)

Automatically created scikit-learn flow.

11 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(1=sklearn.preprocessing.imputation.Imputer,3=sklearn.preprocessing.data.StandardScaler,5=sklearn.cluster.hierarchical.FeatureAgglomeration,6=sklearn.linear_model.stochastic_gradient.SGDClassifier) (1)

Automatically created scikit-learn flow.

1 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(1=sklearn.preprocessing.imputation.Imputer,2=sklearn.preprocessing.data.OneHotEncoder,3.0=sklearn.preprocessing._function_transformer.FunctionTransformer,3=sklearn.preprocessing.data.StandardScaler,5=sklearn.cluster.hierarchical.FeatureAgglomeration,6=sklearn.linear_model.stochastic_gradient.SGDClassifier) (1)

Automatically created scikit-learn flow.

1 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(1=sklearn.preprocessing.imputation.Imputer,2=sklearn.preprocessing.data.OneHotEncoder,3.0=sklearn.preprocessing._function_transformer.FunctionTransformer,5=sklearn.cluster.hierarchical.FeatureAgglomeration,6=sklearn.linear_model.stochastic_gradient.SGDClassifier) (1)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,Categorial=sklearn.preprocessing.data.OneHotEncoder,estimator=sklearn.svm.classes.SVC) (1)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.ensemble.forest.RandomForestClassifier) (3)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.svm.classes.SVC) (3)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)) (1)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier) (7)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier)) (2)

Automatically created scikit-learn flow.

1 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier) (2)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

hyperimp.utils.preprocessing.ConditionalImputer (2)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.linear_model.logistic.LogisticRegression (15)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

skopt.searchcv.BayesSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier))) (1)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier) (6)

Automatically created scikit-learn flow.

52 runs0 likes0 downloads0 reach52 impact

skopt.searchcv.BayesSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)) (1)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(steps__Imputer=sklearn.preprocessing.imputation.Imputer,steps__OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,steps__Classifier=sklearn.ensemble.forest.RandomForestClassifier) (2)

Automatically created sub-component.

0 runs0 likes0 downloads0 reach0 impact

sklearn.preprocessing.imputation.Imputer (27)

Automatically created sub-component.

0 runs0 likes0 downloads0 reach0 impact

sklearn.preprocessing.data.OneHotEncoder (27)

Automatically created sub-component.

0 runs0 likes0 downloads0 reach0 impact

sklearn.ensemble.forest.RandomForestClassifier (42)

Automatically created sub-component.

0 runs0 likes0 downloads0 reach0 impact

skopt.searchcv.BayesSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)) (1)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,LogisticRegression=sklearn.linear_model.logistic.LogisticRegression) (1)

Automatically created scikit-learn flow.

1 runs0 likes0 downloads0 reach0 impact

sklearn.linear_model.logistic.LogisticRegression (16)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,LogisticRegression=sklearn.linear_model.logistic.LogisticRegression) (1)

Automatically created scikit-learn flow.

1 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier) (6)

Automatically created scikit-learn flow.

1 runs0 likes0 downloads0 reach1 impact

mlr.classif.penalized.meanEncode.osw.scale (1)

Learner mlr.classif.penalized.meanEncode.osw.scale from package(s) !penalized.

0 runs0 likes0 downloads0 reach0 impact

sklearn.linear_model.logistic.LogisticRegression (17)

Automatically created scikit-learn flow.

1 runs0 likes0 downloads0 reach0 impact

sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier) (1)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.tree.tree.DecisionTreeClassifier (28)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

mlr.classif.ranger.meanEncode.osw.scale.collapse.fact.dropconst.dropnacols.inftona (1)

Learner mlr.classif.ranger.meanEncode.osw.scale.collapse.fact.dropconst.dropnacols.inftona from package(s) ranger.

0 runs0 likes0 downloads0 reach0 impact

sklearn.tree.tree.ExtraTreeClassifier (19)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.preprocessing.imputation.Imputer (28)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.preprocessing._encoders.OneHotEncoder (2)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

h2o.H2OGBMClassifier (1)

Automatically created scikit-learn flow.

1 runs0 likes0 downloads0 reach0 impact

mlr.classif.ranger (20)

Learner mlr.classif.ranger from package(s) ranger.

1 runs0 likes0 downloads0 reach0 impact

sklearn.tree.tree.ExtraTreeClassifier (20)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

mlr.classif.randomForest.filtered (9)

Learner mlr.classif.randomForest.filtered from package(s) randomForest.

0 runs0 likes0 downloads0 reach0 impact

mlr.classif.rpart (53)

Learner mlr.classif.rpart from package(s) rpart.

5 runs0 likes0 downloads0 reach5 impact

mlr.classif.rpart.imputed.filtered (12)

Learner mlr.classif.rpart.imputed.filtered from package(s) rpart.

0 runs0 likes0 downloads0 reach0 impact

mlr.classif.rpart.tuned (14)

Learner mlr.classif.rpart.tuned from package(s) rpart.

4 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(missingindicator=sklearn.impute.MissingIndicator,imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier) (1)

Automatically created scikit-learn flow.

46654 runs0 likes0 downloads0 reach0 impact

sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(missingindicator=sklearn.impute.MissingIndicator,imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)) (1)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(missingindicator=sklearn.impute.MissingIndicator,imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler) (1)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.impute.MissingIndicator (1)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.preprocessing.imputation.Imputer (29)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.preprocessing.data.StandardScaler (14)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder) (1)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.impute.SimpleImputer (1)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.preprocessing._encoders.OneHotEncoder (3)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.tree.tree.DecisionTreeClassifier (29)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.svm.classes.SVC (22)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(missingindicator=sklearn.impute.MissingIndicator,imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),bernoullinb=sklearn.naive_bayes.BernoulliNB) (1)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(missingindicator=sklearn.impute.MissingIndicator,imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),mlpclassifier=sklearn.neural_network.multilayer_perceptron.MLPClassifier) (1)

Automatically created scikit-learn flow.

1823 runs0 likes0 downloads0 reach0 impact

sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(missingindicator=sklearn.impute.MissingIndicator,imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),sgdclassifier=sklearn.linear_model.stochastic_gradient.SGDClassifier) (1)

Automatically created scikit-learn flow.

101 runs0 likes0 downloads0 reach0 impact

sklearn.naive_bayes.BernoulliNB (5)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

sklearn.neural_network.multilayer_perceptron.MLPClassifier (15)

Automatically created scikit-learn flow.

0 runs0 likes0 downloads0 reach0 impact

Sign in

Filter results by: