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  1. make_friedman3 — scikit-learn 1.7.2 documentation

    in Friedman [1] and Breiman [2]. Inputs X are 4 independent features...1 ] <= 560 * pi , 0 <= X [:, 2 ] <= 1 , 1 <= X [:, 3 ] <= 11....
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman3.html
    Wed Sep 24 16:15:26 UTC 2025
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  2. Quantile regression — scikit-learn 1.7.2 docume...

    subplots ( nrows = 2 , ncols = 2 , figsize = ( 15 , 11 ),...
    scikit-learn.org/stable/auto_examples/linear_model/plot_quantile_regression.html
    Wed Sep 24 16:15:25 UTC 2025
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  3. Probability calibration of classifiers — scikit...

    y [: n_samples // 2 ] = 0 y [ n_samples // 2 :] = 1 sample_weight...50000 # Generate 3 blobs with 2 classes where the second blob...
    scikit-learn.org/stable/auto_examples/calibration/plot_calibration.html
    Wed Sep 24 16:15:25 UTC 2025
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  4. 模範解答的なセクション 2 | DBFlute

    模範解答的なセクション 2 概要 このセクションでの登場人物 模範解答的な実装 概要 DBFluteハンズオン、セクション 2 の模範解答的な実装です。...の模範解答的な実装です。 ハンズオンセクション 2 正解は一つではありませんので、あくまで "的な" というところで、参考までに。...
    dbflute.seasar.org/ja/tutorial/handson/flower/flower02.html
    Mon Sep 15 10:51:18 UTC 2025
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  5. Inductive Clustering — scikit-learn 1.7.2 docum...

    ( - 2 , 4 ), ( 3 , 6 )], random_state...
    scikit-learn.org/stable/auto_examples/cluster/plot_inductive_clustering.html
    Wed Sep 24 16:15:25 UTC 2025
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  6. Semi-supervised Classification on a Text Datase...

    End of iteration 2, added 222 new labels. End of...= dict ( ngram_range = ( 1 , 2 ), min_df = 5 , max_df = 0.8 )...
    scikit-learn.org/stable/auto_examples/semi_supervised/plot_semi_supervised_newsgroups.html
    Wed Sep 24 16:15:25 UTC 2025
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  7. Species distribution modeling — scikit-learn 1....

    s = 2 ** 2 , c = "black" , marker = "^"...pts_test [ "dd lat" ], s = 2 ** 2 , c = "black" , marker = "x"...
    scikit-learn.org/stable/auto_examples/applications/plot_species_distribution_modeling.html
    Wed Sep 24 16:15:25 UTC 2025
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  8. SVM with custom kernel — scikit-learn 1.7.2 doc...

    : 2 ] # we only take the first two...""" We create a custom kernel: (2 0) k(X, Y) = X ( ) Y.T (0 1) """...
    scikit-learn.org/stable/auto_examples/svm/plot_custom_kernel.html
    Wed Sep 24 16:15:26 UTC 2025
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  9. sklearn.metrics — scikit-learn 1.7.2 documentation

    d2_log_loss_score \(D^2\) score function, fraction of...details. d2_absolute_error_score \(D^2\) regression score function, fraction...
    scikit-learn.org/stable/api/sklearn.metrics.html
    Wed Sep 24 16:15:25 UTC 2025
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  10. fetch_rcv1 — scikit-learn 1.7.2 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version fetch_rcv1 # sklearn.datasets. fetch_rcv1 ( * , data_...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_rcv1.html
    Wed Sep 24 16:15:24 UTC 2025
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