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  1. 移行 0.9.7.0 to 0.9.7.1 | DBFlute

    1 お約束の注意点 環境上の注意点 SchemaHTMLのファイル名...
    dbflute.seasar.org/ja/environment/upgrade/migration/migrate0970to0971.html
    Fri Jun 13 09:55:28 UTC 2025
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  2. 3.4. Metrics and scoring: quantifying the quali...

    1 , 1 , 1 , 1 , 1 ] >>> y_pred = [ 0 , 1 , 0 , 1 , 0 ,..., 0 , 1 , 1 , 1 , 1 , 1 ] >>> y_pred = [ 0 , 1 , 0 , 1 , 0 ,...
    scikit-learn.org/stable/modules/model_evaluation.html
    Thu Jul 03 11:42:05 UTC 2025
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  3. Custom refit strategy of a grid search with cro...

    precision: 1.000 (±0.000), recall: 0.854 (±0.063), for {'C': 1, 'gamma':...precision: 1.000 (±0.000), recall: 0.257 (±0.061), for {'C': 1, 'gamma':...
    scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_digits.html
    Thu Jul 03 11:42:05 UTC 2025
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  4. 移行 0.9.6.1 to 0.9.6.2 | DBFlute

    1 to 0.9.6.2 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/migrate0961to0962.html
    Fri Jun 13 09:55:28 UTC 2025
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  5. Probabilistic predictions with Gaussian process...

    875 Accuracy: 1.000 (initial) 1.000 (optimized) Log-loss:...GaussianProcessClass ( kernel = 1.0 * RBF ( length_scale = 1.0 ), optimizer =...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc.html
    Thu Jul 03 11:42:05 UTC 2025
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  6. Release Highlights for scikit-learn 0.24 — scik...

    been removed in version 1.2. From 1.2, use # PartialDependenceDis...scikit-learn 1.0 Release Highlights for scikit-learn 1.0 Release...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_24_0.html
    Thu Jul 03 11:42:05 UTC 2025
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  7. Compressive sensing: tomography reconstruction ...

    floor_x + 1 )), np . hstack (( 1 - alpha , alpha ))...int ), ( points [ 1 ]) . astype ( int )] = 1 mask = ndimage ....
    scikit-learn.org/stable/auto_examples/applications/plot_tomography_l1_reconstruction.html
    Thu Jul 03 11:42:06 UTC 2025
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  8. Gaussian process classification (GPC) on iris d...

    y ) kernel = 1.0 * RBF ([ 1.0 , 1.0 ]) gpc_rbf_anisotropic...() - 1 , X [:, 0 ] . max () + 1 y_min , y_max = X [:, 1 ] . min...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_iris.html
    Thu Jul 03 11:42:05 UTC 2025
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  9. Fitting an Elastic Net with a precomputed Gram ...

    -1.67451144e+02], [-4.48938813e+02, 1.00768662e+05, 1.19112072e+02,......, -1.07963978e+03, 7.47987268e+01, -5.76195467e+02], [-1.03237920e+03,...
    scikit-learn.org/stable/auto_examples/linear_model/plot_elastic_net_precomputed_gram_matrix_with_...
    Thu Jul 03 11:42:05 UTC 2025
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  10. Nested versus non-nested cross-validation — sci...

    = { "C" : [ 1 , 10 , 100 ], "gamma" : [ 0.01 , 0.1 ]} # We will...Iris Dataset" , x = 0.5 , y = 1.1 , fontsize = "15" , ) # Plot...
    scikit-learn.org/stable/auto_examples/model_selection/plot_nested_cross_validation_iris.html
    Thu Jul 03 11:42:06 UTC 2025
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