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Results 81 - 90 of 291 for test (0.15 sec)

  1. Prediction Latency — scikit-learn 1.5.0 documen...

    X_test , y_train , y_test = train_test_split ( X ,..., X_test , y_test = generate_dataset ( n_train , n_test , n )...
    scikit-learn.org/stable/auto_examples/applications/plot_prediction_latency.html
    Fri May 31 14:06:04 UTC 2024
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  2. Single estimator versus bagging: bias-variance ...

    ( y ) X_test , y_test = generate ( n_samples = n_test , noise...training set n_test = 1000 # Size of the test set noise = 0.1...
    scikit-learn.org/stable/auto_examples/ensemble/plot_bias_variance.html
    Fri May 31 14:06:04 UTC 2024
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  3. Comparing random forests and the multi-output m...

    X_test , y_train , y_test = train_test_split ( X ,...predict ( X_test ) y_rf = regr_rf . predict ( X_test ) # Plot the...
    scikit-learn.org/stable/auto_examples/ensemble/plot_random_forest_regression_multioutput.html
    Fri May 31 14:06:06 UTC 2024
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  4. GMM covariances — scikit-learn 1.5.0 documentation

    train_index ] X_test = iris . data [ test_index ] y_test = iris . target...transAxes ) y_test_pred = estimator . predict ( X_test ) test_accuracy...
    scikit-learn.org/stable/auto_examples/mixture/plot_gmm_covariances.html
    Fri May 31 14:06:04 UTC 2024
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  5. Explicit feature map approximation for RBF kern...

    the second half: data_test , targets_test = ( data [ n_samples...2 :]) # data_test = scaler.transform(data_test) # Create a classifier:...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_approximation.html
    Fri May 31 14:06:04 UTC 2024
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  6. Early stopping of Stochastic Gradient Descent —...

    y_train ) test_score = estimator . score ( X_test , y_test ) return...X_train , X_test , y_train , y_test = train_test_split ( X ,...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_early_stopping.html
    Fri May 31 14:06:06 UTC 2024
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  7. Features in Histogram Gradient Boosting Trees —...

    import train_test_split X_train , X_test , y_train , y_test = train_test_split...train_test_split ( X , y , test_size = 0.4 , shuffle = False ) print...
    scikit-learn.org/stable/auto_examples/ensemble/plot_hgbt_regression.html
    Fri May 31 14:06:04 UTC 2024
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  8. 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
    Fri May 31 14:06:06 UTC 2024
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  9. Isotonic Regression — scikit-learn 1.5.0 docume...

    plot ( x_test , ir . predict ( x_test ), "C1-" ) ax1 ....noisy data (n= %d )" % n ) x_test = np . linspace ( - 10 , 110...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_isotonic_regression.html
    Fri May 31 14:06:06 UTC 2024
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  10. 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 May 31 14:06:06 UTC 2024
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