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Release Highlights for scikit-learn 1.0 — sciki...
LogisticRegression ()) pipe . fit ( X , y ) pipe [: - 1 ] . get_feature_names_out...the latest version (with pip): pip install -- upgrade scikit...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_0_0.html -
sklearn.feature_extraction.text.TfidfTransforme...
'one' ] >>> pipe = Pipeline ([( 'count' , CountVectorizer...TfidfTransformer ())]) . fit ( corpus ) >>> pipe [ 'count' ] . transform ( corpus...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfTransformer.html -
Release Highlights for scikit-learn 0.24 — scik...
the latest version (with pip): pip install -- upgrade scikit...fetch_covtype ( return_X_y = True ) pipe = make_pipeline ( MinMaxScaler...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_24_0.html -
sklearn.preprocessing.minmax_scale — scikit-lea...
most risks of data leaking: pipe = make_pipeline(MinMaxScaler(),...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.minmax_scale.html -
sklearn.preprocessing.quantile_transform — scik...
most risks of data leaking: pipe = make_pipeline(QuantileTransformer(),...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.quantile_transform.html -
Balance model complexity and cross-validated sc...
argmin () ] return best_idx pipe = Pipeline ( [ ( "reduce_dim"...14 ]} grid = GridSearchCV ( pipe , cv = 10 , n_jobs = 1 , param_grid...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_refit_callable.html -
One-Class SVM versus One-Class SVM using Stocha...
1e-4 ) pipe_sgd = make_pipeline ( transform , clf_sgd ) pipe_sgd...y_pred_train_sgd = pipe_sgd . predict ( X_train ) y_pred_test_sgd = pipe_sgd...scikit-learn.org/stable/auto_examples/linear_model/plot_sgdocsvm_vs_ocsvm.html -
Pipelining: chaining a PCA and a logistic regre...
1 ) pipe = Pipeline ( steps = [( "scaler"...), } search = GridSearchCV ( pipe , param_grid , n_jobs = 2 )...scikit-learn.org/stable/auto_examples/compose/plot_digits_pipe.html -
6.1. Pipelines and composite estimators — sciki...
SVC ())] >>> pipe = Pipeline ( estimators ) >>> pipe Pipeline(s...pipeline: >>> pipe . steps [ 0 ] ('reduce_dim', PCA()) >>> pipe [ 0 ]...scikit-learn.org/stable/modules/compose.html -
Comparing Target Encoder with Other Encoders — ...
pipe ): result = cross_validate ( pipe , X , y , scoring...categorical_features ), ] ) pipe = make_pipeline ( preprocessor...scikit-learn.org/stable/auto_examples/preprocessing/plot_target_encoder.html