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  1. sklearn.feature_selection — scikit-learn ...

    Feature selection algorithms. These include univariate filter selection methods and the recursive feature elimination algorithm. User guide. See the Feature selection section for further details.
    scikit-learn.org/stable/api/sklearn.feature_selection.html
    Sun Nov 30 16:36:36 GMT 2025
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  2. sklearn.preprocessing — scikit-learn 1.7....

    Methods for scaling, centering, normalization, binarization, and more. User guide. See the Preprocessing data section for further details.
    scikit-learn.org/stable/api/sklearn.preprocessing.html
    Sun Nov 30 16:36:36 GMT 2025
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  3. sklearn.exceptions — scikit-learn 1.7.2 d...

    Custom warnings and errors used across scikit-learn.
    scikit-learn.org/stable/api/sklearn.exceptions.html
    Mon Dec 01 04:57:26 GMT 2025
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  4. sklearn.experimental — scikit-learn 1.7.2...

    Importable modules that enable the use of experimental features or estimators.
    scikit-learn.org/stable/api/sklearn.experimental.html
    Mon Dec 01 04:57:26 GMT 2025
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  5. Nearest Neighbors — scikit-learn 1.7.2 do...

    Examples concerning the sklearn.neighbors module. Approximate nearest neighbors in TSNE Caching nearest neighbors Comparing Nearest Neighbors with and without Neighborhood Components Analysis Dimen...
    scikit-learn.org/stable/auto_examples/neighbors/index.html
    Sun Nov 30 16:36:35 GMT 2025
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  6. Nested versus non-nested cross-validation &#821...

    This example compares non-nested and nested cross-validation strategies on a classifier of the iris data set. Nested cross-validation (CV) is often used to train a model in which hyperparameters al...
    scikit-learn.org/stable/auto_examples/model_selection/plot_nested_cross_validation_iris.html
    Sun Nov 30 16:36:35 GMT 2025
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  7. SVM with custom kernel — scikit-learn 1.7...

    : 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
    Sun Nov 30 16:36:36 GMT 2025
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  8. GMM Initialization Methods — scikit-learn...

    subplot ( 2 , len ( methods ) // 2 , n + 1 ) start =...figsize = ( 4 * len ( methods ) // 2 , 6 )) plt . subplots_adjust (...
    scikit-learn.org/stable/auto_examples/mixture/plot_gmm_init.html
    Sun Nov 30 16:36:36 GMT 2025
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  9. Comparing Nearest Neighbors with and without Ne...

    2 ]] X_train , X_test , y_train...
    scikit-learn.org/stable/auto_examples/neighbors/plot_nca_classification.html
    Sun Nov 30 16:36:36 GMT 2025
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  10. 移行 0.9.5.1 to 0.9.5.2 | DBFlute

    2 お約束の注意点 環境上の注意点 実装上の注意点 お約束の注意点...
    dbflute.seasar.org/ja/environment/upgrade/migration/migrate0951to0952.html
    Tue Nov 25 07:28:15 GMT 2025
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