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sklearn.preprocessing.data.StandardScaler (25)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder) (4)
Automatically created scikit-learn flow.
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sklearn.preprocessing._encoders.OneHotEncoder (9)
Automatically created scikit-learn flow.
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sklearn.feature_selection.variance_threshold.VarianceThreshold (24)
Automatically created scikit-learn flow.
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sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier) (11)
Automatically created scikit-learn flow.
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weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer) (1)
Weka implementation.
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weka.core.tokenizers.WordTokenizer (1)
Weka implementation.
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weka.classifiers.rules.OneR (1)
R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
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weka.classifiers.rules.JRip (1)
William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
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weka.classifiers.functions.SGD (1)
Weka implementation.
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weka.classifiers.lazy.IBk(weka.core.neighboursearch.LinearNNSearch(weka.core.EuclideanDistance)) (2)
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
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weka.core.neighboursearch.LinearNNSearch(weka.core.EuclideanDistance) (2)
Weka implementation.
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weka.core.EuclideanDistance (2)
Wikipedia. Euclidean distance. URL http://en.wikipedia.org/wiki/Euclidean_distance.
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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,bernoullinb=sklearn.naive_bayes.BernoulliNB) (1)
Automatically created scikit-learn flow.
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sklearn.naive_bayes.BernoulliNB (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,sgdclassifier=sklearn.linear_model.stochastic_gradient.SGDClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.linear_model.stochastic_gradient.SGDClassifier (9)
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,extratreesclassifier=sklearn.ensemble.forest.ExtraTreesClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.forest.ExtraTreesClassifier (12)
Automatically created scikit-learn flow.
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mlr.classif.ranger.preproc (4)
Learner mlr.classif.ranger.preproc from package(s) ranger.
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mlr.classif.ranger.preproc (5)
Learner mlr.classif.ranger.preproc from package(s) ranger.
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mlr.classif.ranger.preproc (6)
Learner mlr.classif.ranger.preproc from package(s) ranger.
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mlr.classif.ranger (22)
Learner mlr.classif.ranger from package(s) ranger.
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mlr.classif.ranger.preproc (7)
Learner mlr.classif.ranger.preproc from package(s) ranger.
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mlr.classif.ranger.preproc (8)
Learner mlr.classif.ranger.preproc from package(s) ranger.
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mlr.classif.ranger.preproc (9)
Learner mlr.classif.ranger.preproc from package(s) ranger.
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sklearn.preprocessing.imputation.Imputer (39)
Automatically created scikit-learn flow.
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sklearn.preprocessing._encoders.OneHotEncoder (10)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(classifier=sklearn.ensemble.forest.RandomForestClassifier) (4)
Automatically created scikit-learn flow.
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sklearn.ensemble.gradient_boosting.GradientBoostingClassifier (19)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,svm=sklearn.svm.classes.SVC) (3)
Automatically created scikit-learn flow.
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sklearn.preprocessing.data.MinMaxScaler (6)
Automatically created scikit-learn flow.
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sklearn.svm.classes.SVC (28)
Automatically created scikit-learn flow.
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sklearn.ensemble.gradient_boosting.GradientBoostingClassifier (20)
Automatically created scikit-learn flow.
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sklearn.feature_selection.univariate_selection.SelectKBest (3)
Automatically created scikit-learn flow.
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sklearn.preprocessing.data.StandardScaler (26)
Automatically created scikit-learn flow.
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sklearn.naive_bayes.GaussianNB (14)
Automatically created scikit-learn flow.
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sklearn.preprocessing.imputation.Imputer (40)
Automatically created scikit-learn flow.
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sklearn.tree.tree.DecisionTreeClassifier (38)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,imputer=sklearn.impute.SimpleImputer,svm=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
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scripts.machineLearningAlgorithms.WithoutOutliersClassifier(classifier=sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis,outlierCLF=sklearn.ensemble.iforest.IsolationForest) (1)
Automatically created scikit-learn flow.
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mlr.classif.xgboost (12)
Learner mlr.classif.xgboost from package(s) xgboost.
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sklearn.compose._column_transformer.ColumnTransformer(norm1=sklearn.impute.SimpleImputer,scaler=sklearn.preprocessing.data.StandardScaler) (1)
Automatically created scikit-learn flow.
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sklearn.impute.SimpleImputer (11)
Automatically created scikit-learn flow.
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sklearn.preprocessing.imputation.Imputer (41)
Automatically created scikit-learn flow.
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sklearn.tree.tree.DecisionTreeClassifier (39)
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) (5)
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)) (5)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler) (5)
Automatically created scikit-learn flow.
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sklearn.preprocessing.data.StandardScaler (27)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder) (5)
Automatically created scikit-learn flow.
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sklearn.feature_selection.variance_threshold.VarianceThreshold (25)
Automatically created scikit-learn flow.
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sklearn.ensemble.gradient_boosting.GradientBoostingClassifier (21)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier) (8)
Automatically created scikit-learn flow.
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sklearn.preprocessing.imputation.Imputer (42)
Automatically created scikit-learn flow.
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sklearn.tree.tree.DecisionTreeClassifier (40)
Automatically created scikit-learn flow.
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keras.wrappers.scikit_learn.KerasClassifier (9)
Automatically created scikit-learn flow.
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mlr.multilabel.randomForestSRC (1)
Learner mlr.multilabel.randomForestSRC from package(s) randomForestSRC.
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mlr.classif.randomForest (47)
Learner mlr.classif.randomForest from package(s) randomForest.
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mlr.multilabel.randomForestSRC (2)
Learner mlr.multilabel.randomForestSRC from package(s) randomForestSRC.
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keras.engine.sequential.Sequential.540983E7A86F132C (1)
Automatically created keras flow.
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keras.engine.sequential.Sequential.DC7773AE1F903B55 (1)
Automatically created keras flow.
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keras.engine.sequential.Sequential.F74F5031B2972952 (1)
Automatically created keras flow.
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keras.engine.sequential.Sequential.1993F9611CE245 (1)
Automatically created keras flow.
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keras.engine.sequential.Sequential.5EA4F5B1471754F8 (1)
Automatically created keras flow.
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keras.engine.sequential.Sequential.ACB959C18954C93E (1)
Automatically created keras flow.
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keras.engine.sequential.Sequential.AFC547745B31708C (1)
Automatically created keras flow.
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keras.engine.sequential.Sequential.817E6156A3DC0856 (1)
Automatically created keras flow.
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keras.engine.sequential.Sequential.50500C6AAEF95C7 (1)
Automatically created keras flow.
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keras.engine.sequential.Sequential.21A5CCCE7C692065 (1)
Automatically created keras flow.
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keras.engine.sequential.Sequential.1BD1DC3B3BD90D3 (1)
Automatically created keras flow.
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keras.engine.sequential.Sequential.833ABD7D761B97F8 (1)
Automatically created keras flow.
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keras.engine.sequential.Sequential.C2C19A246868E (1)
Automatically created keras flow.
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keras.engine.sequential.Sequential.D306A43EF39964AC (1)
Automatically created keras flow.
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sklearn.pipeline.Pipeline(features=sklearn.pipeline.FeatureUnion(deficit=sklearn.pipeline.Pipeline(deficit=sklearn.compose._column_transformer.ColumnTransformer(identity=sklearn.preprocessing._function_transformer.FunctionTransformer))),classifier=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.FeatureUnion(deficit=sklearn.pipeline.Pipeline(deficit=sklearn.compose._column_transformer.ColumnTransformer(identity=sklearn.preprocessing._function_transformer.FunctionTransformer))) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(deficit=sklearn.compose._column_transformer.ColumnTransformer(identity=sklearn.preprocessing._function_transformer.FunctionTransformer)) (1)
Automatically created scikit-learn flow.
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sklearn.compose._column_transformer.ColumnTransformer(identity=sklearn.preprocessing._function_transformer.FunctionTransformer) (1)
Automatically created scikit-learn flow.
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sklearn.preprocessing._function_transformer.FunctionTransformer (4)
Automatically created scikit-learn flow.
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sklearn.linear_model.logistic.LogisticRegression (23)
Automatically created scikit-learn flow.
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fastsklearnfeature.feature_selection.openml_wrapper.ComplexPipelineWrapper.ComplexPipelineWrapper(pipeline=sklearn.pipeline.Pipeline(features=sklearn.pipeline.FeatureUnion(Pressure=sklearn.pipeline.Pipeline(Pressure=sklearn.compose._column_transformer.ColumnTransformer(identity=sklearn.preprocessing._function_transformer.FunctionTransformer))),classifier=sklearn.linear_model.logistic.LogisticRegression)) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(features=sklearn.pipeline.FeatureUnion(Pressure=sklearn.pipeline.Pipeline(Pressure=sklearn.compose._column_transformer.ColumnTransformer(identity=sklearn.preprocessing._function_transformer.FunctionTransformer))),classifier=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.FeatureUnion(Pressure=sklearn.pipeline.Pipeline(Pressure=sklearn.compose._column_transformer.ColumnTransformer(identity=sklearn.preprocessing._function_transformer.FunctionTransformer))) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Pressure=sklearn.compose._column_transformer.ColumnTransformer(identity=sklearn.preprocessing._function_transformer.FunctionTransformer)) (1)
Automatically created scikit-learn flow.
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fastsklearnfeature.feature_selection.openml_wrapper.ComplexPipelineWrapper.ComplexPipelineWrapper(pipeline=sklearn.pipeline.Pipeline(features=sklearn.pipeline.FeatureUnion(Temperature=sklearn.pipeline.Pipeline(Temperature=sklearn.compose._column_transformer.ColumnTransformer(identity=sklearn.preprocessing._function_transformer.FunctionTransformer))),classifier=sklearn.linear_model.logistic.LogisticRegression)) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(features=sklearn.pipeline.FeatureUnion(Temperature=sklearn.pipeline.Pipeline(Temperature=sklearn.compose._column_transformer.ColumnTransformer(identity=sklearn.preprocessing._function_transformer.FunctionTransformer))),classifier=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.FeatureUnion(Temperature=sklearn.pipeline.Pipeline(Temperature=sklearn.compose._column_transformer.ColumnTransformer(identity=sklearn.preprocessing._function_transformer.FunctionTransformer))) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Temperature=sklearn.compose._column_transformer.ColumnTransformer(identity=sklearn.preprocessing._function_transformer.FunctionTransformer)) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(features=sklearn.pipeline.Pipeline(Temperature=sklearn.compose._column_transformer.ColumnTransformer(identity=sklearn.preprocessing._function_transformer.FunctionTransformer)),classifier=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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fastsklearnfeature.feature_selection.openml_wrapper.ComplexPipelineWrapper.ComplexPipelineWrapper(my_pipeline=sklearn.pipeline.Pipeline(features=sklearn.pipeline.Pipeline(parents=sklearn.pipeline.FeatureUnion(Temperature1557772715.3323069=sklearn.pipeline.Pipeline(Temperature=sklearn.compose._column_transformer.ColumnTransformer(identity=sklearn.preprocessing._function_transformer.FunctionTransformer))),MinMaxScaling=fastsklearnfeature.transformations.MinMaxScalingTransformation.MinMaxScalingTransformation),classifier=sklearn.linear_model.logistic.LogisticRegression)) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(features=sklearn.pipeline.Pipeline(parents=sklearn.pipeline.FeatureUnion(Temperature1557772715.3323069=sklearn.pipeline.Pipeline(Temperature=sklearn.compose._column_transformer.ColumnTransformer(identity=sklearn.preprocessing._function_transformer.FunctionTransformer))),MinMaxScaling=fastsklearnfeature.transformations.MinMaxScalingTransformation.MinMaxScalingTransformation),classifier=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(parents=sklearn.pipeline.FeatureUnion(Temperature1557772715.3323069=sklearn.pipeline.Pipeline(Temperature=sklearn.compose._column_transformer.ColumnTransformer(identity=sklearn.preprocessing._function_transformer.FunctionTransformer))),MinMaxScaling=fastsklearnfeature.transformations.MinMaxScalingTransformation.MinMaxScalingTransformation) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.FeatureUnion(Temperature1557772715.3323069=sklearn.pipeline.Pipeline(Temperature=sklearn.compose._column_transformer.ColumnTransformer(identity=sklearn.preprocessing._function_transformer.FunctionTransformer))) (1)
Automatically created scikit-learn flow.
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fastsklearnfeature.transformations.MinMaxScalingTransformation.MinMaxScalingTransformation (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(features=sklearn.pipeline.Pipeline(parents=sklearn.pipeline.FeatureUnion(Temperature1557773213.1252477=sklearn.pipeline.Pipeline(Temperature=sklearn.compose._column_transformer.ColumnTransformer(identity=sklearn.preprocessing._function_transformer.FunctionTransformer))),MinMaxScaling=fastsklearnfeature.transformations.MinMaxScalingTransformation.MinMaxScalingTransformation),classifier=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(parents=sklearn.pipeline.FeatureUnion(Temperature1557773213.1252477=sklearn.pipeline.Pipeline(Temperature=sklearn.compose._column_transformer.ColumnTransformer(identity=sklearn.preprocessing._function_transformer.FunctionTransformer))),MinMaxScaling=fastsklearnfeature.transformations.MinMaxScalingTransformation.MinMaxScalingTransformation) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.FeatureUnion(Temperature1557773213.1252477=sklearn.pipeline.Pipeline(Temperature=sklearn.compose._column_transformer.ColumnTransformer(identity=sklearn.preprocessing._function_transformer.FunctionTransformer))) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(features=sklearn.pipeline.Pipeline(V2=sklearn.compose._column_transformer.ColumnTransformer(identity=sklearn.preprocessing._function_transformer.FunctionTransformer)),classifier=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(V2=sklearn.compose._column_transformer.ColumnTransformer(identity=sklearn.preprocessing._function_transformer.FunctionTransformer)) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(features=sklearn.pipeline.Pipeline(V3=sklearn.compose._column_transformer.ColumnTransformer(identity=sklearn.preprocessing._function_transformer.FunctionTransformer)),classifier=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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