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Results 11 - 20 of 107 for pipe (0.1 sec)

  1. quantile_transform — scikit-learn 1.5.0 documen...

    most risks of data leaking: pipe = make_pipeline(QuantileTransformer(),...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.quantile_transform.html
    Sat May 25 13:41:01 UTC 2024
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  2. grid_search.rst.txt

    tion import SelectKBest >>> pipe = Pipeline([ ... ('select',...8]} >>> search = GridSearchCV(pipe, param_grid, cv=5).fit(X, y)...
    scikit-learn.org/stable/_sources/modules/grid_search.rst.txt
    Fri May 24 12:15:00 UTC 2024
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  3. 3.2. Tuning the hyper-parameters of an estimato...

    tion import SelectKBest >>> pipe = Pipeline ([ ... ( 'select'...>>> search = GridSearchCV ( pipe , param_grid , cv = 5 ) . fit...
    scikit-learn.org/stable/modules/grid_search.html
    Sat May 25 13:41:01 UTC 2024
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  4. 6.3. Preprocessing data — scikit-learn 1.5.0 do...

    random_state = 42 ) >>> pipe = make_pipeline ( StandardScaler...(), LogisticRegression ()) >>> pipe . fit ( X_train , y_train )...
    scikit-learn.org/stable/modules/preprocessing.html
    Sat May 25 13:41:01 UTC 2024
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  5. preprocessing.rst.txt

    random_state=42) >>> pipe = make_pipeline(StandardScaler(),..., LogisticRegression()) >>> pipe.fit(X_train, y_train) # apply...
    scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt
    Fri May 24 12:15:01 UTC 2024
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  6. 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
    Sat May 25 13:41:01 UTC 2024
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  7. 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
    Sat May 25 13:41:03 UTC 2024
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  8. 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
    Sat May 25 13:41:02 UTC 2024
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  9. Displaying Pipelines — scikit-learn 1.5.0 docum...

    ] pipe = Pipeline ( steps ) pipe # click on the...= "linear" ))] pipe = Pipeline ( steps ) pipe # click on the...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_pipeline_display.html
    Sat May 25 13:41:03 UTC 2024
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  10. 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
    Sat May 25 13:41:02 UTC 2024
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