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  1. APIヘルプ (DBFlute Maven Plugin 1.0.0 API)

    メソッドの詳細 各概要エントリには、その項目の詳細な説明の中から1行目の文が表示されます。詳細な説明はソース・コードに現れる順...
    dbflute.seasar.org/maven/plugin/apidocs/help-doc.html
    Mon Sep 15 10:51:18 UTC 2025
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  2. check_X_y — scikit-learn 1.7.2 documentation

    ensure_min_samples = 1 , ensure_min_features = 1 , y_numeric = False...>>> X = [[ 1 , 2 ], [ 3 , 4 ], [ 5 , 6 ]] >>> y = [ 1 , 2 , 3 ]...
    scikit-learn.org/stable/modules/generated/sklearn.utils.check_X_y.html
    Sat Nov 01 09:15:33 UTC 2025
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  3. explained_variance_score — scikit-learn 1.7.2 d...

    1 ], [ - 1 , 1 ], [ 7 , - 6 ]] >>> y_pred...cross-validation). Added in version 1.1. Returns : score float or ndarray...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.explained_variance_score.html
    Mon Nov 03 14:20:04 UTC 2025
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  4. paired_cosine_distances — scikit-learn 1.7.2 do...

    [ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.paired_cosine_distances.html
    Mon Nov 03 14:20:05 UTC 2025
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  5. Blind source separation using FastICA — scikit-...

    array ([[ 1 , 1 , 1 ], [ 0.5 , 2 , 1.0 ], [ 1.5 , 1.0 , 2.0 ]])...models , names ), 1 ): plt . subplot ( 4 , 1 , ii ) plt . title...
    scikit-learn.org/stable/auto_examples/decomposition/plot_ica_blind_source_separation.html
    Mon Nov 03 14:20:04 UTC 2025
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  6. nan_euclidean_distances — scikit-learn 1.7.2 do...

    6] and [1, na, 4, 5] is: \[\sqrt{\frac{4}{2}((3-1)^2 + (6-5)^2)}\]...float ( "NaN" ) >>> X = [[ 0 , 1 ], [ 1 , nan ]] >>> nan_euclidean_distances...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.nan_euclidean_distances.html
    Mon Nov 03 14:20:04 UTC 2025
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  7. inplace_column_scale — scikit-learn 1.7.2 docum...

    1 , 2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2 , 5 ])...csr . todense () matrix([[8, 1, 2], [0, 0, 5], [0, 0, 0], [0,...
    scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_column_scale.html
    Sat Nov 01 09:15:33 UTC 2025
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  8. Metadata Routing — scikit-learn 1.7.2 documenta...

    array([1., 1., 1.]) Routing Meta-Estimator...ExampleClassifier. array([1., 1., 1.]) Deprecation / Default Value...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_metadata_routing.html
    Mon Nov 03 14:20:04 UTC 2025
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  9. Frozen Estimators — scikit-learn 1.7.2 document...

    Examples concerning the sklearn.frozen module. Examples of Using FrozenEstimator
    scikit-learn.org/stable/auto_examples/frozen/index.html
    Mon Nov 03 14:20:04 UTC 2025
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  10. Nearest Neighbors — scikit-learn 1.7.2 document...

    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
    Mon Nov 03 14:20:03 UTC 2025
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