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  1. fetch_covtype — scikit-learn 1.7.2 documentation

    Gallery examples: Scalable learning with polynomial kernel approximation Evaluation of outlier detection estimators Release Highlights for scikit-learn 0.24
    scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_covtype.html
    Mon Nov 10 15:11:15 UTC 2025
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  2. sklearn.compose — scikit-learn 1.7.2 documentation

    Meta-estimators for building composite models with transformers. In addition to its current contents, this module will eventually be home to refurbished versions of Pipeline and FeatureUnion. User ...
    scikit-learn.org/stable/api/sklearn.compose.html
    Mon Nov 10 15:11:15 UTC 2025
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  3. sklearn.impute — scikit-learn 1.7.2 documentation

    Transformers for missing value imputation. User guide. See the Imputation of missing values section for further details.
    scikit-learn.org/stable/api/sklearn.impute.html
    Mon Nov 10 15:11:18 UTC 2025
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  4. sklearn.isotonic — scikit-learn 1.7.2 documenta...

    Isotonic regression for obtaining monotonic fit to data. User guide. See the Isotonic regression section for further details.
    scikit-learn.org/stable/api/sklearn.isotonic.html
    Mon Nov 10 15:11:15 UTC 2025
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  5. laplacian_kernel — scikit-learn 1.7.2 documenta...

    Skip to main content Back to top Ctrl + K GitHub Choose version laplacian_kernel # sklearn.metrics.pairwise. laplacia...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.laplacian_kernel.html
    Mon Nov 10 15:11:15 UTC 2025
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  6. RationalQuadratic — scikit-learn 1.7.2 document...

    x_j)^2 }{ 2\alpha l^2}\right)^{-\alpha}\] where...>>> gpc . predict_proba ( X [: 2 ,:]) array([[0.8881, 0.0566, 0.05518],...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RationalQuadratic.html
    Mon Nov 10 15:11:18 UTC 2025
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  7. L1 Penalty and Sparsity in Logistic Regression ...

    %s " % l1_ratio ) axes_row [ 2 ] . set_title ( "L2 penalty" )...
    scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_l1_l2_sparsity.html
    Mon Nov 10 15:11:19 UTC 2025
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  8. class_likelihood_ratios — scikit-learn 1.7.2 do...

    "LR-": value_2} where the values can be non-negative...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.class_likelihood_ratios.html
    Mon Nov 10 15:11:15 UTC 2025
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  9. Adjustment for chance in clustering performance...

    linspace ( 2 , n_samples , 10 ) . astype ( int ) plt . figure ( 2 ) plots...n_clusters_range = np . linspace ( 2 , 100 , 10 ) . astype ( int )...
    scikit-learn.org/stable/auto_examples/cluster/plot_adjusted_for_chance_measures.html
    Mon Nov 10 15:11:15 UTC 2025
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  10. 検索フォームの配置

    2)", "-moz-box-shadow": "0 1px 1px...2px 0px rgba(82, 168, 236, 0.2)", "box-shadow": "0 1px 1px 0px...
    fess.codelibs.org/ja/15.2/config/search-form.html
    Fri Oct 24 02:40:35 UTC 2025
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