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sklearn.pipeline.Pipeline(imputation=sklearn.preprocessing.imputation.Imputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier) (2)
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
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sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.naive_bayes.MultinomialNB) (2)
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
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sklearn.svm._classes.SVC (9)
C-Support Vector Classification. The implementation is based on libsvm. The fit time scales at least quadratically with the number of samples and may be impractical beyond tens of thousands of…
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sklearn.pipeline.Pipeline(impute=sklearn.impute._base.SimpleImputer,std_scale=sklearn.preprocessing._data.StandardScaler,svr=sklearn.svm._classes.SVR) (1)
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
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sklearn.pipeline.Pipeline(impute=sklearn.impute._base.SimpleImputer,std_scale=sklearn.preprocessing._data.StandardScaler,knn=sklearn.neighbors._regression.KNeighborsRegressor) (1)
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
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sklearn.pipeline.Pipeline(SimpleImputer=sklearn.impute._base.SimpleImputer,OneHotEncoder=sklearn.preprocessing._encoders.OneHotEncoder,rf=sklearn.ensemble._forest.RandomForestClassifier) (1)
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
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sklearn.pipeline.Pipeline(SimpleImputer=sklearn.impute._base.SimpleImputer,OrdinalEncoder=sklearn.preprocessing._encoders.OrdinalEncoder,rf=sklearn.ensemble._forest.RandomForestClassifier) (1)
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
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sklearn.pipeline.Pipeline(SimpleImputer=sklearn.impute._base.SimpleImputer,OrdinalEncoder=sklearn.preprocessing._encoders.OrdinalEncoder,vc=sklearn.ensemble._voting.VotingClassifier(rf=sklearn.ensemble._forest.RandomForestClassifier,svc=sklearn.svm._classes.SVC)) (1)
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
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sklearn.pipeline.Pipeline(ColumnTansformer=sklearn.compose._column_transformer.ColumnTransformer(OneHotEncoder=sklearn.preprocessing._encoders.OneHotEncoder),MaxAbsScaler=sklearn.preprocessing._data.MaxAbsScaler,svc=sklearn.svm._classes.SVC) (1)
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(ColumnTansformer=sklearn.compose._column_transformer.ColumnTransformer(OneHotEncoder=sklearn.preprocessing._encoders.OneHotEncoder),hist=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier) (1)
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(Preprocessing=sklearn.compose._column_transformer.ColumnTransformer(categorical=sklearn.preprocessing._encoders.OneHotEncoder,continuous=sklearn.impute._base.SimpleImputer),Classifier=sklearn.ensemble._forest.RandomForestClassifier) (1)
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
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basic_generic_flow (1)
A simple generic flow used as an example. More details https://docs.openml.org/Python-examples/
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sklearn.tree._classes.DecisionTreeClassifier (23)
A decision tree classifier.
1 runs0 likes0 downloads0 reach1 impact
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree._classes.DecisionTreeClassifier) (17)
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement…
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sklearn.pipeline.Pipeline(encoder=sklearn.preprocessing._encoders.OrdinalEncoder,clf=sklearn.tree._classes.DecisionTreeClassifier) (1)
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement…
1 runs0 likes0 downloads0 reach0 impact
mlr3.regr.catboost (1)
Learner regr.catboost from package(s) mlr3, mlr3extralearners, catboost.
1 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart (63)
Learner mlr.classif.rpart from package(s) rpart.
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sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.ensemble._forest.RandomForestClassifier) (1)
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement…
1 runs0 likes0 downloads0 reach0 impact
sklearn.svm._classes.NuSVC (1)
Nu-Support Vector Classification. Similar to SVC but uses a parameter to control the number of support vectors. The implementation is based on libsvm.
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mlr3.classif.rpart (3)
Learner classif.rpart from package(s) mlr3, rpart.
1 runs0 likes0 downloads0 reach0 impact
sklearn.ensemble._forest.RandomForestClassifier (15)
A random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and uses averaging to improve the predictive…
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mlr3.classif.rpart (4)
Learner classif.rpart from package(s) mlr3, rpart.
1 runs0 likes0 downloads0 reach0 impact
mlr3.classif.rpart (6)
Learner classif.rpart from package(s) mlr3, rpart.
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mlr3.classif.rpart (9)
Learner classif.rpart from package(s) mlr3, rpart.
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mlr3.classif.rpart (10)
Learner classif.rpart from package(s) mlr3, rpart.
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mlr3.classif.rpart (11)
Learner classif.rpart from package(s) mlr3, rpart.
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mlr3.classif.rpart (12)
Learner classif.rpart from package(s) mlr3, rpart.
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sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier) (9)
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree._classes.DecisionTreeClassifier) (20)
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement…
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sklearn.tree._classes.DecisionTreeClassifier (28)
A decision tree classifier.
1 runs0 likes0 downloads0 reach1 impact
sklearn.ensemble._forest.RandomForestClassifier (16)
A random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and uses averaging to improve the predictive…
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sklearn.neighbors._classification.KNeighborsClassifier (12)
Classifier implementing the k-nearest neighbors vote.
1 runs0 likes0 downloads0 reach0 impact
sklearn.linear_model._perceptron.Perceptron (1)
Linear perceptron classifier.
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sklearn.neighbors._classification.KNeighborsClassifier (13)
Classifier implementing the k-nearest neighbors vote.
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tensorflow.keras.src.engine.functional.Functional.d44177a2 (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.ea754687 (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.86028288 (1)
Automatically created tensorflow flow.
1 runs0 likes0 downloads0 reach0 impact
torch.nn.ToyNet.a79e9e43b0a86752 (1)
Automatically created pytorch flow.
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torch.nn.ToyNet.4ca4f9ba4200019a (1)
Automatically created pytorch flow.
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tensorflow.keras.src.engine.functional.Functional.1e39074f (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.ce56c7ec (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.3a66aaa0 (1)
Automatically created tensorflow flow.
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torch.nn.ToyPretrainedModel.e7d51ffe955bbb87 (1)
Automatically created pytorch flow.
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tensorflow.keras.src.engine.functional.Functional.51a3979b (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.404459e9 (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.916a4389 (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.52db344d (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.4d8ba626 (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.8152f787 (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.f81c0fb4 (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.8129f27b (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.9f6419aa (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.164c7826 (1)
Automatically created tensorflow flow.
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torch.nn.ToyNet.a403d66e82f2a163 (1)
Automatically created pytorch flow.
1 runs0 likes0 downloads0 reach0 impact
tensorflow.keras.src.engine.functional.Functional.59af705b (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.69d1b089 (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.d73c5e05 (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.472d16ed (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.f2e28c94 (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.df6ed94d (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.f6febb39 (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.52f9338c (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.e4a510a2 (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.5b830e3e (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.41d3bfc3 (1)
Automatically created tensorflow flow.
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torch.nn.Model2.2ead11c3814c5c38 (1)
Automatically created pytorch flow.
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tensorflow.keras.src.engine.functional.Functional.748398b2 (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.dfdaef79 (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.5101da12 (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.aa8210f1 (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.617fd3fd (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.af598820 (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.8e2a48d2 (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.c78e8bf1 (1)
Automatically created tensorflow flow.
1 runs0 likes0 downloads0 reach0 impact
torch.nn.Model2.b713d08914d0b79c (1)
Automatically created pytorch flow.
1 runs0 likes0 downloads0 reach0 impact
tensorflow.keras.src.engine.functional.Functional.b562812a (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.10d8c252 (1)
Automatically created tensorflow flow.
1 runs0 likes0 downloads0 reach0 impact
torch.nn.Model2.aa91671ce2cec77f (1)
Automatically created pytorch flow.
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tensorflow.keras.src.engine.functional.Functional.84b7d5a2 (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.f1ff4c07 (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.6e5690a1 (1)
Automatically created tensorflow flow.
1 runs0 likes0 downloads0 reach0 impact
torch.nn.Model2.5cf7b0de7c478e7 (1)
Automatically created pytorch flow.
1 runs0 likes0 downloads0 reach0 impact
tensorflow.keras.src.engine.functional.Functional.ac7aa309 (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.2172a799 (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.f66a887a (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.4a0f71b6 (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.a7587a1f (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.e9969c47 (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.9bcb60d8 (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.d4afefcc (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.a090f68c (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.c2131d53 (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.69177469 (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.sequential.Sequential.8739b798 (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.3f0025b0 (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.bba43c3e (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.7025c293 (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.58ee7d8a (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.f7bafe70 (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.43e37cff (1)
Automatically created tensorflow flow.
1 runs0 likes0 downloads0 reach0 impact