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  1. Multilabel classification — scikit-learn 1.7.2 ...

    1 ]) max_y = np . max ( X [:, 1 ]) classif = OneVsRestClassifier...[:, 1 ]) . nonzero () plt . scatter ( X [:, 0 ], X [:, 1 ], s...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_multilabel.html
    Fri Sep 12 13:34:55 UTC 2025
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  2. 2.9. Neural network models (unsupervised) — sci...

    \[\sigma(x) = \frac{1}{1 + e^{-x}}\] 2.9.1.3. Stochastic Maximum...for digit classification 2.9.1.1. Graphical model and parametrization...
    scikit-learn.org/stable/modules/neural_networks_unsupervised.html
    Fri Sep 12 13:34:49 UTC 2025
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  3. Quantile regression — scikit-learn 1.7.2 docume...

    scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Lagged features...axs [ 1 , 0 ] . set_xlabel ( "Residuals" ) _ = axs [ 1 , 1 ] ....
    scikit-learn.org/stable/auto_examples/linear_model/plot_quantile_regression.html
    Fri Sep 12 13:34:50 UTC 2025
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  4. Getting Started — scikit-learn 1.7.2 documentation

    dataset is easy array([1., 1., 1., 1., 1.]) Automatic parameter...transform ( X ) array([[-1., 1.], [ 1., -1.]]) Sometimes, you want...
    scikit-learn.org/stable/getting_started.html
    Fri Sep 12 13:34:49 UTC 2025
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  5. Post-tuning the decision threshold for cost-sen...

    array([1.e-06, 1.e-05, 1.e-04, 1.e-03, 1.e-02, 1.e-01, 1.e+00,...1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])}, scoring='neg_log_loss')...
    scikit-learn.org/stable/auto_examples/model_selection/plot_cost_sensitive_learning.html
    Fri Sep 12 13:34:53 UTC 2025
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  6. t-SNE: The effect of various perplexity values ...

    reshape ( - 1 , 1 ), yy . ravel () . reshape ( - 1 , 1 ), ] ) color...perplexities ): ax = subplots [ 1 ][ i + 1 ] t0 = time () tsne = manifold...
    scikit-learn.org/stable/auto_examples/manifold/plot_t_sne_perplexity.html
    Fri Sep 12 13:34:53 UTC 2025
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  7. Illustration of Gaussian process classification...

    kernels = [ 1.0 * RBF ( length_scale = 1.15 ), 1.0 * DotProduct...)[:, 1 ] Z = Z . reshape ( xx . shape ) plt . subplot ( 1 , 2...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_xor.html
    Fri Sep 12 13:34:50 UTC 2025
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  8. Inductive Clustering — scikit-learn 1.7.2 docum...

    cluster_std = [ 1.0 , 1.0 , 0.5 ], centers = [( - 5.... scatter ( X [:, 0 ], X [:, 1 ], c = color , alpha = alpha ,...
    scikit-learn.org/stable/auto_examples/cluster/plot_inductive_clustering.html
    Fri Sep 12 13:34:54 UTC 2025
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  9. inplace_csr_row_normalize_l1 — scikit-learn 1.7...

    1 , 2 , 3 ]) >>> data = np . array ([ 1.0 , 2.0 , 3.0...0. ], [0. , 0. , 1. , 0. ], [0. , 0. , 0. , 1. ]]) On this page...
    scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs_fast.inplace_csr_row_normaliz...
    Tue Sep 09 17:54:29 UTC 2025
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  10. 1話が衝撃的すぎたアニメランキング!3位「進撃の巨人」、2位「幽☆遊☆白書」、1位は…|名探...

    抑えて1位に選ばれたのは… 駅弁が一番おいしい都道府県ランキング!3位 群馬、2位 宮城、気になる1位は… 第1話が衝撃... 詳細はこちら> 第1話が衝撃的すぎたアニメランキング!3位「進撃の巨人」、2位「幽☆遊☆白書」、1位は… 2025年06月28日...
    ranking.goo.ne.jp/column/10320/
    Sat Sep 13 01:01:06 UTC 2025
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