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  1. sklearn.neural_network — scikit-learn 1.7.2 doc...

    Models based on neural networks. User guide. See the Neural network models (supervised) and Neural network models (unsupervised) sections for further details.
    scikit-learn.org/stable/api/sklearn.neural_network.html
    Wed Sep 17 19:57:59 UTC 2025
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  2. load_sample_images — scikit-learn 1.7.2 documen...

    Skip to main content Back to top Ctrl + K GitHub Choose version load_sample_images # sklearn.datasets. load_sample_im...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.load_sample_images.html
    Wed Sep 17 19:57:58 UTC 2025
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  3. make_s_curve — scikit-learn 1.7.2 documentation

    Gallery examples: Comparison of Manifold Learning methods t-SNE: The effect of various perplexity values on the shape
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_s_curve.html
    Wed Sep 17 19:58:00 UTC 2025
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  4. check_random_state — scikit-learn 1.7.2 documen...

    Gallery examples: Empirical evaluation of the impact of k-means initialization MNIST classification using multinomial logistic + L1 Manifold Learning methods on a severed sphere Isotonic Regression...
    scikit-learn.org/stable/modules/generated/sklearn.utils.check_random_state.html
    Wed Sep 17 19:58:00 UTC 2025
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  5. sklearn.model_selection — scikit-learn 1.7.2 do...

    Tools for model selection, such as cross validation and hyper-parameter tuning. User guide. See the Cross-validation: evaluating estimator performance, Tuning the hyper-parameters of an estimator, ...
    scikit-learn.org/stable/api/sklearn.model_selection.html
    Wed Sep 17 19:58:00 UTC 2025
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  6. sklearn.feature_selection — scikit-learn 1.7.2 ...

    Feature selection algorithms. These include univariate filter selection methods and the recursive feature elimination algorithm. User guide. See the Feature selection section for further details.
    scikit-learn.org/stable/api/sklearn.feature_selection.html
    Wed Sep 17 19:58:00 UTC 2025
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  7. get_data_home — scikit-learn 1.7.2 documentation

    Gallery examples: Out-of-core classification of text documents
    scikit-learn.org/stable/modules/generated/sklearn.datasets.get_data_home.html
    Wed Sep 17 19:57:58 UTC 2025
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  8. 7.8. Pairwise metrics, Affinities and Kernels —...

    for choosing gamma is 1 / num_features S = 1. / (D / np.max(D))...>>> Y = np . array ([[ 1 , 0 ], [ 2 , 1 ]]) >>> pairwise_distances...
    scikit-learn.org/stable/modules/metrics.html
    Wed Sep 17 19:57:59 UTC 2025
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  9. ネタおもしろランキング一覧242件中 1件から20件 - gooランキング

    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...秋田、2位 東京、1位は… 10 方言がかわいい都道府県ランキング!3位 愛知県、2位 大分県、1位に選ばれたのは… 1 美人が多いと思う都道府県ランキング!3位...
    ranking.goo.ne.jp/category/15/
    Thu Sep 18 00:57:09 UTC 2025
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  10. Decision boundary of semi-supervised classifier...

    = { - 1 : ( 1 , 1 , 1 ), 0 : ( 0 , 0 , 0.9 ), 1 : ( 1 , 0 , 0...() - 1 , X [:, 0 ] . max () + 1 y_min , y_max = X [:, 1 ] . min...
    scikit-learn.org/stable/auto_examples/semi_supervised/plot_semi_supervised_versus_svm_iris.html
    Wed Sep 17 19:57:59 UTC 2025
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