Search Options

Results per page
Sort
Preferred Languages
Labels
Advance

Results 341 - 350 of 1,332 for test (0.86 sec)

  1. Probability Calibration curves — scikit-learn 1...

    X_test , y_train , y_test = train_test_split ( X ,...from_estimator ( clf , X_test , y_test , n_bins = 10 , name = name...
    scikit-learn.org/stable/auto_examples/calibration/plot_calibration_curve.html
    Tue Jul 01 15:59:32 UTC 2025
      143.5K bytes
      Cache
     
  2. Developer’s Guide — scikit-learn 1.7.0 document...

    on GitHub Actions Testing and improving test coverage Monitoring...Numbers Numerical assertions in tests Developers’ Tips and Tricks...
    scikit-learn.org/stable/developers/index.html
    Tue Jul 01 15:59:32 UTC 2025
      37.7K bytes
      Cache
     
  3. Release Highlights for scikit-learn 1.5 — sciki...

    X_test , y_train , y_test = train_test_split ( X ,...from_estimator ( classifier_05 , X_test , y_test ) Lowering the threshold,...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_5_0.html
    Tue Jul 01 15:59:32 UTC 2025
      123.1K bytes
      Cache
     
  4. Gradient Boosting regularization — scikit-learn...

    X_test , y_train , y_test = train_test_split ( X ,...( X_test )): test_deviance [ i ] = 2 * log_loss ( y_test , y_proba...
    scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regularization.html
    Tue Jul 01 15:59:33 UTC 2025
      96.3K bytes
      Cache
     
  5. Release Highlights for scikit-learn 0.23 — scik...

    X_test , y_train , y_test = train_test_split ( X ,...score ( X_test , y_test )) print ( gbdt . score ( X_test , y_test...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_23_0.html
    Tue Jul 01 15:59:35 UTC 2025
      165.8K bytes
      Cache
     
  6. Elasticsearch features list | Elastic

    "message" : { "query" : "this is a test", "operator" : "and" } } } }...default distribution, you can also test out Platinum features such as...
    www.elastic.co/elasticsearch/features
    Wed Jul 02 00:54:46 UTC 2025
      627.2K bytes
      1 views
      Cache
     
  7. Comparing Random Forests and Histogram Gradient...

    significant improvement of the testing score. Plot results # We can...elapsed computing time and mean test score. Passing the cursor over...
    scikit-learn.org/stable/auto_examples/ensemble/plot_forest_hist_grad_boosting_comparison.html
    Tue Jul 01 15:59:33 UTC 2025
      126.7K bytes
      Cache
     
  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
    Tue Jul 01 15:59:33 UTC 2025
      122.9K bytes
      Cache
     
  9. Common pitfalls in the interpretation of coeffi...

    import train_test_split X_train , X_test , y_train , y_test = train_test_split...predict ( X_test ) mae_test = median_absolute_error ( y_test , y_pred...
    scikit-learn.org/stable/auto_examples/inspection/plot_linear_model_coefficient_interpretation.html
    Tue Jul 01 15:59:35 UTC 2025
      290.9K bytes
      Cache
     
  10. 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
    Tue Jul 01 15:59:35 UTC 2025
      216.4K bytes
      Cache
     
Back to top