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  1. Visualizing cross-validation behavior in scikit...

    ylim = [ n_splits + 2.2 , - 0.2 ], xlim = [ 0 , 100 ], )...cmap = cmap_cv , vmin =- 0.2 , vmax = 1.2 , ) # Plot the data classes...
    scikit-learn.org/stable/auto_examples/model_selection/plot_cv_indices.html
    Wed Sep 17 19:57:58 UTC 2025
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  2. Release Highlights for scikit-learn 1.7 — sciki...

    2 Release Highlights for scikit-learn 1.2 Release Highlights...False ), LogisticRegression ( C = 2.0 )) model Pipeline(steps=[('standardscaler',...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_7_0.html
    Wed Sep 17 19:57:59 UTC 2025
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  3. 移行 0.9.5.1 to 0.9.5.2 | DBFlute

    2 お約束の注意点 環境上の注意点 実装上の注意点 お約束の注意点...
    dbflute.seasar.org/ja/environment/upgrade/migration/migrate0951to0952.html
    Mon Sep 15 10:51:17 UTC 2025
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  4. Fitting an Elastic Net with a precomputed Gram ...

    2.65799352e+02], ..., [-2.25349312e+02, -1.07963978e+03,...-4.48938813e+02, -1.03237920e+03, ..., -2.25349312e+02, -3.53959628e+02,...
    scikit-learn.org/stable/auto_examples/linear_model/plot_elastic_net_precomputed_gram_matrix_with_...
    Wed Sep 17 19:58:00 UTC 2025
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  5. Plot multi-class SGD on the iris dataset — scik...

    : 2 ] y = iris . target colors = "bry"...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_iris.html
    Wed Sep 17 19:57:59 UTC 2025
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  6. Hashing feature transformation using Totally Ra...

    TruncatedSVD ( n_components = 2 ) X_reduced = svd . fit_transform...
    scikit-learn.org/stable/auto_examples/ensemble/plot_random_forest_embedding.html
    Wed Sep 17 19:57:59 UTC 2025
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  7. Comparing random forests and the multi-output m...

    random_state = 2 ) regr_rf . fit ( X_train , y_train..."target 1" ) plt . ylabel ( "target 2" ) plt . title ( "Comparing random...
    scikit-learn.org/stable/auto_examples/ensemble/plot_random_forest_regression_multioutput.html
    Wed Sep 17 19:57:58 UTC 2025
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  8. Gaussian process classification (GPC) on iris d...

    : 2 ] # we only take the first two...m_max]x[y_min, y_max]. plt . subplot ( 1 , 2 , i + 1 ) Z = clf . predict_proba...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_iris.html
    Wed Sep 17 19:57:58 UTC 2025
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  9. 7.8. Pairwise metrics, Affinities and Kernels —...

    for all a and b 2. d ( a , b ) == 0 , if and only...pairwise_kernels >>> X = np . array ([[ 2 , 3 ], [ 3 , 5 ], [ 5 , 8 ]])...
    scikit-learn.org/stable/modules/metrics.html
    Wed Sep 17 19:57:59 UTC 2025
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  10. Part 6: Analyzer in Japanese

    analysis Analyzer for all languages: 2-gram based segmentation A search...will explain using Fess 12.1.2. The Fess ZIP file can be obtained...
    fess.codelibs.org/articles/6/document.html
    Wed Sep 17 02:37:11 UTC 2025
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