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  1. 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
    Sun Jun 29 19:04:30 UTC 2025
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  2. Clustering text documents using k-means — sciki...

    assigned to each cluster: [ 1 1 1 3384] Number of elements assigned...n_features: { X_tfidf . shape [ 1 ] } " ) vectorization done in...
    scikit-learn.org/stable/auto_examples/text/plot_document_clustering.html
    Sun Jun 29 19:04:30 UTC 2025
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  3. 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_...
    Sun Jun 29 19:04:30 UTC 2025
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  4. News

    2009-12-09 Fess 1.1.2 Released 2009-10-10 Fess 1.1.0 Released 2009-09-10...2022-05-21 Fess 14.1.1 Released 2022-04-24 Fess 14.1.0 Released 2022-03-23...
    fess.codelibs.org/news.html
    Sun Jun 29 02:38:42 UTC 2025
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  5. MNIST classification using multinomial logistic...

    version = 1 , return_X_y = True , as_frame...reshape (( X . shape [ 0 ], - 1 )) X_train , X_test , y_train...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_mnist.html
    Sun Jun 29 19:04:30 UTC 2025
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  6. 移行 0.9.5.1 to 0.9.5.2 | DBFlute

    1 to 0.9.5.2 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/migrate0951to0952.html
    Fri Jun 13 09:55:28 UTC 2025
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  7. Novelty detection with Local Outlier Factor (LO...

    n_neighbors) is typically set 1) greater than the minimum number...novelty = True , contamination = 0.1 ) clf . fit ( X_train ) # DO NOT...
    scikit-learn.org/stable/auto_examples/neighbors/plot_lof_novelty_detection.html
    Sun Jun 29 19:04:31 UTC 2025
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  8. Visualizing cross-validation behavior in scikit...

    scikit-learn 1.4 Release Highlights for scikit-learn 1.4 Gallery...10 ) percentiles_classes = [ 0.1 , 0.3 , 0.6 ] y = np . hstack...
    scikit-learn.org/stable/auto_examples/model_selection/plot_cv_indices.html
    Sun Jun 29 19:04:30 UTC 2025
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  9. Comparing random forests and the multi-output m...

    RandomState ( 1 ) X = np . sort ( 200 * rng . rand ( 600 , 1 ) - 100...( y_test [:, 0 ], y_test [:, 1 ], edgecolor = "k" , c = "navy"...
    scikit-learn.org/stable/auto_examples/ensemble/plot_random_forest_regression_multioutput.html
    Sun Jun 29 19:04:30 UTC 2025
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  10. 14. External Resources, Videos and Talks — scik...

    1. The scikit-learn MOOC # If you...
    scikit-learn.org/stable/presentations.html
    Sun Jun 29 19:04:30 UTC 2025
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