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Results 91 - 100 of 593 for tests (0.1 sec)

  1. Shrinkage covariance estimation: LedoitWolf vs ...

    coloring_matrix ) X_test = np . dot ( base_X_test , coloring_matrix...n_samples , n_features )) base_X_test = np . random . normal ( size...
    scikit-learn.org/stable/auto_examples/covariance/plot_covariance_estimation.html
    Fri May 31 14:06:06 UTC 2024
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  2. preprocessing.rst.txt

    X_test, y_train, y_test = train_test_split(X, y, random_state=42)...pipe.score(X_test, y_test) # apply scaling on testing data, without...
    scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt
    Fri May 31 14:06:06 UTC 2024
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  3. Feature transformations with ensembles of trees...

    X_test , y_full_train , y_test = train_test_split ( X...train_test_split ( X_full_train , y_full_train , test_size =...
    scikit-learn.org/stable/auto_examples/ensemble/plot_feature_transformation.html
    Fri May 31 14:06:04 UTC 2024
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  4. Cross-validation on diabetes Dataset Exercise —...

    score ( X [ test ], y [ test ]) ) ) print () print...Train error vs Test error Train error vs Test error Lasso model...
    scikit-learn.org/stable/auto_examples/exercises/plot_cv_diabetes.html
    Fri May 31 14:06:06 UTC 2024
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  5. Time-related feature engineering — scikit-learn...

    test_0 = all_splits [ 0 ] X . iloc [ test_0 ] season...train_4 , test_4 = all_splits [ 4 ] X . iloc [ test_4 ] season...
    scikit-learn.org/stable/auto_examples/applications/plot_cyclical_feature_engineering.html
    Fri May 31 14:06:06 UTC 2024
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  6. Nearest Neighbors Classification — scikit-learn...

    X_test , y_train , y_test = train_test_split ( X ,...split the data into a train and test dataset. from sklearn.datasets...
    scikit-learn.org/stable/auto_examples/neighbors/plot_classification.html
    Fri May 31 14:06:06 UTC 2024
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  7. 6.1. Pipelines and composite estimators — sciki...

    X_test , y_train , y_test = train_test_split ( X ,...format ( regr . score ( X_test , y_test ))) R2 score: 0.61 >>> raw_target_regr...
    scikit-learn.org/stable/modules/compose.html
    Fri May 31 14:06:07 UTC 2024
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  8. Comparison of kernel ridge regression and SVR —...

    train_time = [] test_time = [] for train_test_size in sizes :...fit ( X [: train_test_size ], y [: train_test_size ]) train_time...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_ridge_regression.html
    Fri May 31 14:06:06 UTC 2024
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  9. Comparing Target Encoder with Other Encoders — ...

    "rmse_test_mean" : rmse_test_score . mean (), "rmse_test_std"...= True , ) rmse_test_score = - result [ "test_score" ] rmse_train_score...
    scikit-learn.org/stable/auto_examples/preprocessing/plot_target_encoder.html
    Fri May 31 14:06:04 UTC 2024
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  10. Decision Tree Regression — scikit-learn 1.5.0 d...

    predict ( X_test ) y_2 = regr_2 . predict ( X_test ) # Plot the.... fit ( X , y ) # Predict X_test = np . arange ( 0.0 , 5.0 ,...
    scikit-learn.org/stable/auto_examples/tree/plot_tree_regression.html
    Fri May 31 14:06:04 UTC 2024
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