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  1. GammaRegressor — scikit-learn 1.8.0 documentation

    alpha = 1.0 , fit_intercept = True , solver...Parameters : alpha float, default=1 Constant that multiplies the L2...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.GammaRegressor.html
    Mon Mar 23 20:39:20 UTC 2026
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  2. cluster_optics_dbscan — scikit-learn 1.8.0 docu...

    1, 1, 1]) Gallery examples # Demo of...compute_optics_graph >>> X = np . array ([[ 1 , 2 ], [ 2 , 5 ], [ 3 , 6 ], ......
    scikit-learn.org/stable/modules/generated/sklearn.cluster.cluster_optics_dbscan.html
    Mon Mar 23 20:39:20 UTC 2026
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  3. DBFlute : Migration : 0.8.1

    1 to 0.8.2} 環境上の注意点 Sql2Entityも一緒に...C#ユーザの方へ 最新バージョンのS2Container-1.3.12と一緒にご利用下さい。 実装上の注意点 http:...
    dbflute.seasar.org/ja/oldmigration/migrate-081to082.html
    Fri May 01 08:50:18 UTC 2026
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  4. check_consistent_length — scikit-learn 1.8.0 do...

    check_consistent_length >>> a = [ 1 , 2 , 3 ] >>> b = [ 2 , 3 , 4...
    scikit-learn.org/stable/modules/generated/sklearn.utils.check_consistent_length.html
    Mon Mar 23 20:39:23 UTC 2026
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  5. DetCurveDisplay — scikit-learn 1.8.0 documentation

    y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...version 1.8: y_pred is deprecated and will be removed in 1.10. Use...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.DetCurveDisplay.html
    Mon Mar 23 20:39:20 UTC 2026
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  6. precision_recall_fscore_support — scikit-learn ...

    beta = 1.0 , labels = None , pos_label = 1 , average = None...score reaches its best value at 1 and worst score at 0. The F-beta...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_fscore_support.html
    Mon Mar 23 20:39:23 UTC 2026
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  7. make_blobs — scikit-learn 1.8.0 documentation

    scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Plot the...2) >>> y array([0, 0, 1, 0, 2, 2, 2, 1, 1, 0]) >>> X , y = make_blobs...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_blobs.html
    Mon Mar 23 20:39:21 UTC 2026
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  8. Lasso — scikit-learn 1.8.0 documentation

    1 ) >>> clf . fit ([[ 0 , 0 ], [ 1 , 1 ], [ 2 , 2...2 ]], [ 0 , 1 , 2 ]) Lasso(alpha=0.1) >>> print ( clf . coef_...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lasso.html
    Mon Mar 23 20:39:21 UTC 2026
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  9. AgglomerativeClustering — scikit-learn 1.8.0 do...

    array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2...clustering . labels_ array([1, 1, 1, 0, 0, 0]) For a comparison...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.AgglomerativeClustering.html
    Mon Mar 23 20:39:21 UTC 2026
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  10. class_likelihood_ratios — scikit-learn 1.8.0 do...

    1 , 0 , 1 , 0 ], [ 1 , 1 , 0 , 0 , 0 ]) (1.5, 0.75)...LR+ ranges from 1.0 to infinity. A LR+ of 1.0 indicates that...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.class_likelihood_ratios.html
    Mon Mar 23 20:39:23 UTC 2026
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