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José Evans
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José 's flows

sklearn.pipeline.Pipeline(classifier=sklearn.svm._classes.SVC) (1)
A sequence of data transformers with an optional final predictor. `Pipeline` allows you to sequentially apply a list of transformers to preprocess the data and, if desired, conclude the sequence with…
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sklearn.pipeline.Pipeline(preprocessing=sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.preprocessing._data.StandardScaler),classifier=sklearn.svm._classes.SVC) (1)
A sequence of data transformers with an optional final predictor. `Pipeline` allows you to sequentially apply a list of transformers to preprocess the data and, if desired, conclude the sequence with…
1 runs0 likes0 downloads0 reach0 impact
sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.preprocessing._data.StandardScaler) (1)
Applies transformers to columns of an array or pandas DataFrame. This estimator allows different columns or column subsets of the input to be transformed separately and the features generated by each…
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sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,knn=sklearn.neighbors._classification.KNeighborsClassifier) (1)
A sequence of data transformers with an optional final predictor. `Pipeline` allows you to sequentially apply a list of transformers to preprocess the data and, if desired, conclude the sequence with…
3 runs0 likes0 downloads0 reach0 impact
sklearn.neighbors._classification.KNeighborsClassifier (24)
Classifier implementing the k-nearest neighbors vote.
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