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  1. 移行 0.9.8.2 to 0.9.8.3 | DBFlute

    2 to 0.9.8.3 お約束の注意点 環境上の注意点 Re...
    dbflute.seasar.org/ja/environment/upgrade/migration/migrate0982to0983.html
    Mon Sep 15 10:51:17 UTC 2025
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  2. Concentration Prior Type Analysis of Variation ...

    normalization eig_vals = 2 * np . sqrt ( 2 ) * np . sqrt ( eig_vals...= 0.8 ) ax1 . set_xlim ( - 2.0 , 2.0 ) ax1 . set_ylim ( - 3.0...
    scikit-learn.org/stable/auto_examples/mixture/plot_concentration_prior.html
    Mon Nov 10 15:11:15 UTC 2025
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  3. 移行 0.9.6.2 to 0.9.6.3 | DBFlute

    2 to 0.9.6.3 お約束の注意点 環境上の注意点 実装上の注意点...
    dbflute.seasar.org/ja/environment/upgrade/migration/migrate0962to0963.html
    Mon Sep 15 10:51:17 UTC 2025
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  4. 移行 0.9.5.2 to 0.9.5.3 | DBFlute

    2 to 0.9.5.3 お約束の注意点 環境上の注意点 実装上の注意点...
    dbflute.seasar.org/ja/environment/upgrade/migration/migrate0952to0953.html
    Mon Sep 15 10:51:17 UTC 2025
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  5. Release Highlights for scikit-learn 0.22 — scik...

    2. From 1.2, use RocCurveDisplay instead....n_neighbors = 2 ) print ( imputer . fit_transform ( X )) [[1. 2. 4. ]...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_22_0.html
    Mon Nov 10 15:11:19 UTC 2025
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  6. label_binarize — scikit-learn 1.7.2 documentation

    2 , 4 , 6 ]) array([[1, 0, 0, 0],...6 ], classes = [ 1 , 6 , 4 , 2 ]) array([[1, 0, 0, 0], [0, 1,...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.label_binarize.html
    Sun Nov 09 07:16:24 UTC 2025
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  7. 1.17. Neural network models (supervised) — scik...

    \dfrac{\alpha}{2n} ||W||_2^2\] where \(\alpha ||W||_2^2\) is an L2-regularization...}_i - y_i ||_2^2 + \frac{\alpha}{2n} ||W||_2^2\] Starting from...
    scikit-learn.org/stable/modules/neural_networks_supervised.html
    Mon Nov 10 15:11:15 UTC 2025
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  8. hinge_loss — scikit-learn 1.7.2 documentation

    ([[ - 2 ], [ 3 ], [ 0.5 ]]) >>> pred_decision array([-2.18, 2.36,...[ 1 ], [ 2 ], [ 3 ]]) >>> Y = np . array ([ 0 , 1 , 2 , 3 ]) >>>...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.hinge_loss.html
    Mon Nov 10 15:11:18 UTC 2025
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  9. Release Highlights for scikit-learn 1.5 — sciki...

    nothing; each false negative costs 2; each false positive costs 0.1...."all" ) . ravel () return tp - 2 * fn - 0.1 * fp print ( "Untuned...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_5_0.html
    Mon Nov 10 15:11:19 UTC 2025
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  10. LedoitWolf — scikit-learn 1.7.2 documentation

    2 ], ... [ .2 , .8 ]]) >>> np . random...Multivariate Analysis, Volume 88, Issue 2, February 2004, pages 365-411....
    scikit-learn.org/stable/modules/generated/sklearn.covariance.LedoitWolf.html
    Mon Nov 10 15:11:18 UTC 2025
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