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  1. Explicit feature map approximation for RBF kern...

    n_samples // 2 ], digits . target [: n_samples // 2 ]) # Now predict...n_samples // 2 :], digits . target [ n_samples // 2 :]) # data_test...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_approximation.html
    Mon Oct 20 15:12:27 UTC 2025
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  2. MNIST classification using multinomial logistic...

    subplot ( 2 , 5 , i + 1 ) l1_plot . imshow...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_mnist.html
    Mon Oct 20 15:12:27 UTC 2025
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  3. Plot Ridge coefficients as a function of the re...

    - 2 , n_alphas ) coefs = [] for a...
    scikit-learn.org/stable/auto_examples/linear_model/plot_ridge_path.html
    Mon Oct 20 15:12:27 UTC 2025
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  4. Version 0.24 — scikit-learn 1.7.2 documentation

    2 # April 2021 Changelog # sklearn.compose...single metrics and verbose > 2. #19659 by Thomas Fan . Fix Some...
    scikit-learn.org/stable/whats_new/v0.24.html
    Mon Oct 20 15:12:27 UTC 2025
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  5. Support Vector Regression (SVR) using linear an...

    ) Look at the results # lw = 2 svrs = [ svr_rbf , svr_lin , svr_poly...
    scikit-learn.org/stable/auto_examples/svm/plot_svm_regression.html
    Mon Oct 20 15:12:27 UTC 2025
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  6. 移行 0.9.7.1 to 0.9.7.2 | DBFlute

    2 お約束の注意点 環境上の注意点 非等値の演算子が "!="...
    dbflute.seasar.org/ja/environment/upgrade/migration/migrate0971to0972.html
    Mon Sep 15 10:51:17 UTC 2025
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  7. Effect of model regularization on training and ...

    n_jobs = 2 , score_type = "both" , ) disp..."Validation Curve for ElasticNet (R$^2$ Score)" , xlabel = r "alpha (regularization...
    scikit-learn.org/stable/auto_examples/model_selection/plot_train_error_vs_test_error.html
    Mon Oct 20 15:12:27 UTC 2025
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  8. Varying regularization in Multi-layer Perceptro...

    n_features = 2 , n_redundant = 0 , n_informative = 2 , random_state.... random . RandomState ( 2 ) X += 2 * rng . uniform ( size =...
    scikit-learn.org/stable/auto_examples/neural_networks/plot_mlp_alpha.html
    Mon Oct 20 15:12:26 UTC 2025
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  9. Recursive feature elimination with cross-valida...

    The introduction of 2 additional redundant (i.e. correlated)...n_informative = 3 , n_redundant = 2 , n_repeated = 0 , n_classes =...
    scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_with_cross_validation.html
    Mon Oct 20 15:12:27 UTC 2025
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  10. Poisson regression and non-normal loss — scikit...

    'Regular' 1217 R82 2 5.0 1 0.75000 B 6 2 52 50 B12 'Diesel' 54...plt . subplots ( nrows = 2 , ncols = 2 , figsize = ( 12 , 8 ))...
    scikit-learn.org/stable/auto_examples/linear_model/plot_poisson_regression_non_normal_loss.html
    Mon Oct 20 15:12:27 UTC 2025
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