Search Options

Results per page
Sort
Preferred Languages
Labels
Advance

Results 51 - 60 of 215 for test (0.13 sec)

  1. sklearn.pipeline.Pipeline — scikit-learn 1.4.2 ...

    X_test , y_train , y_test = train_test_split ( X ,..., y_train ) . score ( X_test , y_test ) 0.88 >>> # An estimator's...
    scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html
    Fri May 17 16:55:53 UTC 2024
      100K bytes
      Cache
     
  2. Out-of-core classification of text documents — ...

    - tick test_stats [ "n_test" ] += len ( y_test ) test_stats [...%(n_test)6d test docs ( %(n_test_pos)6d positive) " % test_stats...
    scikit-learn.org/stable/auto_examples/applications/plot_out_of_core_classification.html
    Fri May 17 16:55:51 UTC 2024
      98.4K bytes
      Cache
     
  3. Probability Calibration for 3-class classificat...

    y [: 1000 ] X_test , y_test = X [ 1000 :], y [ 1000...log_loss ( y_test , clf_probs ) cal_score = log_loss ( y_test , cal_clf_probs...
    scikit-learn.org/stable/auto_examples/calibration/plot_calibration_multiclass.html
    Fri May 17 16:55:53 UTC 2024
      99.5K bytes
      Cache
     
  4. Statistical comparison of models using grid sea...

    "rank_test_score" , "mean_test_score" , "std_test_score" ]]...params rank_test_score mean_test_score std_test_score kernel...
    scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_stats.html
    Fri May 17 16:55:53 UTC 2024
      115.7K bytes
      Cache
     
  5. Tweedie regression on insurance claims — scikit...

    ( "test" , X_test , df_test ), ]: y , _weights...train_test_split df_train , df_test , X_train , X_test = train_test_split...
    scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html
    Fri May 17 16:55:52 UTC 2024
      118K bytes
      Cache
     
  6. 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 17 16:55:52 UTC 2024
      151.8K bytes
      Cache
     
  7. Lagged features for time series forecasting — s...

    import train_test_split X_train , X_test , y_train , y_test = train_test_split...train_test_split ( X , y , test_size = 0.2 , random_state = 42 )...
    scikit-learn.org/stable/auto_examples/applications/plot_time_series_lagged_features.html
    Fri May 17 16:55:51 UTC 2024
      111.9K bytes
      Cache
     
  8. 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
    Fri May 17 16:55:53 UTC 2024
      214.7K bytes
      Cache
     
  9. 2.5. Decomposing signals in components (matrix ...

    ||X-UV||_{\text{Fro}}^2+\alpha||V||_{1,1} \\ \text{subject to...||X-UV||_{\text{Fro}}^2+\alpha||U||_{1,1} \\ \text{subject to...
    scikit-learn.org/stable/modules/decomposition.html
    Fri May 17 16:55:53 UTC 2024
      106K bytes
      Cache
     
  10. Evaluation of outlier detection estimators — sc...

    reduced using a stratified train_test_split . Furthermore, we set...sklearn.model_selection import train_test_split X , y = fetch_kddcup99...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_outlier_detection_bench.html
    Fri May 17 16:55:53 UTC 2024
      98.6K bytes
      Cache
     
Back to top