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  1. ndcg_score — scikit-learn 1.7.1 documentation

    1.1 , 1. , .5 , .0 ]]) >>> ndcg_score...scores = np . asarray ([[ 1 , 0 , 0 , 0 , 1 ]]) >>> # by default ties...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.ndcg_score.html
    Thu Jul 17 15:32:17 UTC 2025
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  2. Probability calibration of classifiers — scikit...

    51 )[ 1 :: 2 ], y_test [ order ] . reshape ( 25 , - 1 ) . mean...] = 0 y [ n_samples // 2 :] = 1 sample_weight = np . random ....
    scikit-learn.org/stable/auto_examples/calibration/plot_calibration.html
    Thu Jul 17 15:32:17 UTC 2025
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  3. chi2_kernel — scikit-learn 1.7.1 documentation

    [ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...chi2_kernel ( X , Y = None , gamma = 1.0 ) [source] # Compute the exponential...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.chi2_kernel.html
    Thu Jul 17 15:32:17 UTC 2025
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  4. linear_kernel — scikit-learn 1.7.1 documentation

    [ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...linear_kernel ( X , Y ) array([[0., 0.], [1., 2.]]) On this page This Page...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.linear_kernel.html
    Thu Jul 17 15:32:16 UTC 2025
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  5. k_means — scikit-learn 1.7.1 documentation

    [ 1., 2.]]) >>> label array([1, 1, 1, 0, 0, 0], dtype=int32)...X = np . array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 10 , 2...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.k_means.html
    Thu Jul 17 15:32:16 UTC 2025
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  6. fbeta_score — scikit-learn 1.7.1 documentation

    1 , 2 , 0 , 1 , 2 ] >>> y_pred = [ 0 , 2 , 1 , 0 , 0...beta > 1 gives more weight to recall, while beta < 1 favors precision....
    scikit-learn.org/stable/modules/generated/sklearn.metrics.fbeta_score.html
    Thu Jul 17 15:32:16 UTC 2025
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  7. config_context — scikit-learn 1.7.1 documentation

    Added in version 1.1. enable_cython_pairwise_dist...configuration setting. Added in version 1.1. array_api_dispatch bool, default=None...
    scikit-learn.org/stable/modules/generated/sklearn.config_context.html
    Thu Jul 17 15:32:16 UTC 2025
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  8. load_sample_image — scikit-learn 1.7.1 document...

    Skip to main content Back to top Ctrl + K GitHub Choose version load_sample_image # sklearn.datasets. load_sample_ima...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.load_sample_image.html
    Thu Jul 17 15:32:17 UTC 2025
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  9. sklearn.kernel_approximation — scikit-learn 1.7...

    Approximate kernel feature maps based on Fourier transforms and count sketches. User guide. See the Kernel Approximation section for further details.
    scikit-learn.org/stable/api/sklearn.kernel_approximation.html
    Thu Jul 17 15:32:16 UTC 2025
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  10. sklearn.naive_bayes — scikit-learn 1.7.1 docume...

    Naive Bayes algorithms. These are supervised learning methods based on applying Bayes’ theorem with strong (naive) feature independence assumptions. User guide. See the Naive Bayes section for furt...
    scikit-learn.org/stable/api/sklearn.naive_bayes.html
    Thu Jul 17 15:32:17 UTC 2025
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