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Results 71 - 80 of 683 for tests (0.32 sec)

  1. Classification of text documents using sparse f...

    predict ( X_test ) test_time = time () - t0 print ( f "test time: {..., ) data_test = fetch_20newsgroups ( subset = "test" , categories...
    scikit-learn.org/stable/auto_examples/text/plot_document_classification_20newsgroups.html
    Fri Jun 07 19:49:38 UTC 2024
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  2. 10. Common pitfalls and recommended practices —...

    X_test , y_train , y_test = train_test_split ( ......X_train , X_test , y_train , y_test = train_test_split ( ......
    scikit-learn.org/stable/common_pitfalls.html
    Fri Jun 07 19:49:37 UTC 2024
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  3. PredefinedSplit — scikit-learn 1.5.0 documentation

    Provides train/test indices to split data into train/test sets using...The entry test_fold[i] represents the index of the test set that...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.PredefinedSplit.html
    Fri Jun 07 19:49:37 UTC 2024
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  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
    Fri Jun 07 19:49:38 UTC 2024
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  5. Post-tuning the decision threshold for cost-sen...

    import train_test_split X_train , X_test , y_train , y_test = train_test_split...model , X_test , y_test ), scoring [ "tpr" ]( model , X_test , y_test...
    scikit-learn.org/stable/auto_examples/model_selection/plot_cost_sensitive_learning.html
    Fri Jun 07 19:49:38 UTC 2024
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  6. 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 Jun 07 19:49:38 UTC 2024
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  7. 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
    Fri Jun 07 19:49:37 UTC 2024
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  8. Introducing the set_output API — scikit-learn 1...

    X_test , y_train , y_test = train_test_split ( X ,...X_train ) X_test_scaled = scaler . transform ( X_test ) X_test_scaled...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_set_output.html
    Fri Jun 07 19:49:38 UTC 2024
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  9. MNIST classification using multinomial logistic...

    X_test , y_train , y_test = train_test_split ( X ,...( X_train ) X_test = scaler . transform ( X_test ) # Turn up tolerance...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_mnist.html
    Fri Jun 07 19:49:38 UTC 2024
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  10. Faces recognition example using eigenfaces and ...

    X_test , y_train , y_test = train_test_split ( X , y , test_size...set and a test and keep 25% of the data for testing. X_train ,...
    scikit-learn.org/stable/auto_examples/applications/plot_face_recognition.html
    Fri Jun 07 19:49:38 UTC 2024
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