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sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier) (7)
Automatically created scikit-learn flow.
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sklearn.preprocessing.imputation.Imputer (30)
Automatically created scikit-learn flow.
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sklearn.tree.tree.DecisionTreeClassifier (30)
Automatically created scikit-learn flow.
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sklearn.preprocessing._encoders.OneHotEncoder (4)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(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.
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sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(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.
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sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),svc=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier) (1)
Automatically created scikit-learn flow.
109070 runs0 likes2 downloads2 reach0 impact
sklearn.feature_selection.variance_threshold.VarianceThreshold (18)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,svc=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
249475 runs1 likes4 downloads5 reach0 impact
sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer2,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.svm.classes.SVC) (2)
Automatically created scikit-learn flow.
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sklearn.tree.tree.ExtraTreeClassifier (22)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)) (1)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,svc=sklearn.svm.classes.SVC)) (1)
Automatically created scikit-learn flow.
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lightgbm.sklearn.LGBMClassifier (2)
Automatically created scikit-learn flow.
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sklearn.naive_bayes.MultinomialNB (3)
Automatically created scikit-learn flow.
4 runs0 likes0 downloads0 reach0 impact
sklearn.preprocessing.data.StandardScaler (15)
Automatically created scikit-learn flow.
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sklearn.preprocessing.data.StandardScaler (16)
Automatically created scikit-learn flow.
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sklearn.tree.tree.DecisionTreeClassifier (31)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)
Automatically created scikit-learn flow.
24388 runs0 likes0 downloads0 reach0 impact
sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)) (2)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler) (2)
Automatically created scikit-learn flow.
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sklearn.preprocessing.imputation.Imputer (31)
Automatically created scikit-learn flow.
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sklearn.preprocessing.data.StandardScaler (17)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder) (2)
Automatically created scikit-learn flow.
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sklearn.impute.SimpleImputer (2)
Automatically created scikit-learn flow.
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sklearn.preprocessing._encoders.OneHotEncoder (5)
Automatically created scikit-learn flow.
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sklearn.feature_selection.variance_threshold.VarianceThreshold (19)
Automatically created scikit-learn flow.
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sklearn.ensemble.gradient_boosting.GradientBoostingClassifier (15)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (2)
Automatically created scikit-learn flow.
29304 runs0 likes1 downloads1 reach0 impact
sklearn.preprocessing.imputation.Imputer (32)
Automatically created scikit-learn flow.
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sklearn.tree.tree.DecisionTreeClassifier (32)
Automatically created scikit-learn flow.
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sklearn.dummy.DummyClassifier (10)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.dummy.DummyClassifier (11)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.preprocessing.data.StandardScaler (18)
Automatically created scikit-learn flow.
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hpo4svm.hpo.sklearn.HPOSVM (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(scale=sklearn.preprocessing.data.StandardScaler,predict=hpo4svm.hpo.sklearn.HPOSVM) (1)
Automatically created scikit-learn flow.
13 runs0 likes1 downloads1 reach0 impact
sklearn.pipeline.Pipeline(missing=sklearn.preprocessing.imputation.Imputer,scale=sklearn.preprocessing.data.StandardScaler,predict=hpo4svm.hpo.sklearn.HPOSVM) (1)
Automatically created scikit-learn flow.
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sklearn.preprocessing.imputation.Imputer (33)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(missing=sklearn.impute.SimpleImputer,scale=sklearn.preprocessing.data.StandardScaler,predict=hpo4svm.hpo.sklearn.HPOSVM) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.impute.SimpleImputer (3)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(missing=sklearn.impute.SimpleImputer,scale=sklearn.preprocessing.data.StandardScaler,predict=hpo4svm.hpo.SVR) (1)
Automatically created scikit-learn flow.
23 runs0 likes0 downloads0 reach0 impact
hpo4svm.hpo.SVR (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(missing=sklearn.impute.SimpleImputer,scale=sklearn.preprocessing.data.StandardScaler,predict=hpo4svm.hpo.SVC) (1)
Automatically created scikit-learn flow.
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hpo4svm.hpo.SVC (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(missing=sklearn.impute.SimpleImputer,scale=sklearn.preprocessing.data.StandardScaler,predict=hpo4svm.hpo.SVC) (2)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
sklearn.impute.SimpleImputer (4)
Automatically created scikit-learn flow.
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sklearn.preprocessing.data.StandardScaler (19)
Automatically created scikit-learn flow.
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hpo4svm.hpo.SVC (2)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(scale=sklearn.preprocessing.data.StandardScaler,predict=hpo4svm.hpo.SVR) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.naive_bayes.MultinomialNB) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.naive_bayes.MultinomialNB (4)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.ensemble.forest.RandomForestClassifier) (4)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.ensemble.forest.RandomForestClassifier (46)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.svm.classes.SVC) (4)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.svm.classes.SVC (23)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier) (1)
Automatically created scikit-learn flow.
242 runs0 likes0 downloads0 reach0 impact
sklearn.impute.SimpleImputer (5)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.naive_bayes.MultinomialNB) (1)
Automatically created scikit-learn flow.
9 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
231 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
223 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
8 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(imputation=preprocessing.ConditionalImputer2,hotencoding=sklearn.preprocessing._encoders.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
preprocessing.ConditionalImputer2 (1)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
sklearn.feature_selection.variance_threshold.VarianceThreshold (20)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=preprocessing.ConditionalImputer2,catencoding=preprocessing.MultiLabelEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
3475 runs0 likes0 downloads0 reach0 impact
preprocessing.MultiLabelEncoder (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier) (2)
Automatically created scikit-learn flow.
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sklearn.decomposition.pca.PCA (7)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (3)
Automatically created scikit-learn flow.
80829 runs0 likes0 downloads0 reach0 impact
sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)) (3)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler) (3)
Automatically created scikit-learn flow.
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sklearn.preprocessing.imputation.Imputer (34)
Automatically created scikit-learn flow.
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sklearn.preprocessing.data.StandardScaler (20)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder) (3)
Automatically created scikit-learn flow.
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sklearn.impute.SimpleImputer (6)
Automatically created scikit-learn flow.
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sklearn.preprocessing._encoders.OneHotEncoder (6)
Automatically created scikit-learn flow.
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sklearn.feature_selection.variance_threshold.VarianceThreshold (21)
Automatically created scikit-learn flow.
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sklearn.ensemble.gradient_boosting.GradientBoostingClassifier (16)
Automatically created scikit-learn flow.
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sklearn.preprocessing._encoders.OneHotEncoder (7)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.tree.tree.ExtraTreeClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.preprocessing.imputation.Imputer (35)
Automatically created scikit-learn flow.
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sklearn.tree.tree.DecisionTreeClassifier (33)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier) (9)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.neighbors.classification.KNeighborsClassifier (33)
Automatically created scikit-learn flow.
107 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,Categorial=sklearn.preprocessing._encoders.OneHotEncoder,estimator=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
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sklearn.preprocessing._encoders.OneHotEncoder (8)
Automatically created scikit-learn flow.
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sklearn.svm.classes.SVC (24)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,Categorial=sklearn.preprocessing.data.OneHotEncoder,estimator=sklearn.svm.classes.SVC) (2)
Automatically created scikit-learn flow.
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sklearn.svm.classes.SVC (25)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.svm.classes.SVC) (5)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,scaler=sklearn.preprocessing.data.StandardScaler,estimator=sklearn.svm.classes.SVC) (3)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,Categorial=sklearn.preprocessing.data.OneHotEncoder,scaler=sklearn.preprocessing.data.StandardScaler,estimator=sklearn.svm.classes.SVC) (3)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.ensemble.forest.RandomForestClassifier) (5)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier) (2)
Automatically created scikit-learn flow.
36363 runs0 likes0 downloads0 reach0 impact
sklearn.ensemble.forest.RandomForestClassifier (48)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(estimator=sklearn.tree.tree.DecisionTreeClassifier) (1)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact