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  1. Label Propagation circles: Learning a complex s...

    X [ labels == - 1 , 0 ], X [ labels == - 1 , 1 ], color = "darkorange"...circle), 1 (belonging to the inner circle), and -1 (unknown)....
    scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_structure.html
    Fri Jun 06 09:13:47 UTC 2025
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  2. make_hastie_10_2 — scikit-learn 1.7.0 documenta...

    float64(-1.0), np.float64(1.0), np.float64(-1.0), np.float64(1.0),...[ i ] = 1 if np . sum ( X [ i ] ** 2 ) > 9.34 else - 1 Read more...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_hastie_10_2.html
    Fri Jun 06 09:13:47 UTC 2025
      110.6K bytes
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  3. sklearn.naive_bayes — scikit-learn 1.7.0 docume...

    Naive Bayes algorithms. These are supervised learning methods based on applying Bayes’ theorem with strong (naive) feature independence assumptions. User guide. See the Naive Bayes section for furt...
    scikit-learn.org/stable/api/sklearn.naive_bayes.html
    Fri Jun 06 09:13:47 UTC 2025
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  4. Examples based on real world datasets — scikit-...

    Applications to real world problems with some medium sized datasets or interactive user interface. Compressive sensing: tomography reconstruction with L1 prior (Lasso) Faces recognition example usi...
    scikit-learn.org/stable/auto_examples/applications/index.html
    Fri Jun 06 09:13:47 UTC 2025
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  5. sklearn.kernel_approximation — scikit-learn 1.7...

    Approximate kernel feature maps based on Fourier transforms and count sketches. User guide. See the Kernel Approximation section for further details.
    scikit-learn.org/stable/api/sklearn.kernel_approximation.html
    Fri Jun 06 09:13:47 UTC 2025
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  6. load_sample_image — scikit-learn 1.7.0 document...

    Skip to main content Back to top Ctrl + K GitHub Choose version load_sample_image # sklearn.datasets. load_sample_ima...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.load_sample_image.html
    Fri Jun 06 09:13:47 UTC 2025
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  7. sklearn.random_projection — scikit-learn 1.7.0 ...

    Random projection transformers. Random projections are a simple and computationally efficient way to reduce the dimensionality of the data by trading a controlled amount of accuracy (as additional ...
    scikit-learn.org/stable/api/sklearn.random_projection.html
    Fri Jun 06 09:13:47 UTC 2025
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  8. クラス階層 (DBFlute Maven Plugin 1.0.0 API)

    概要 パッケージ クラス 使用 階層ツリー 非推奨 索引 ヘルプ 前 次 フレーム フレームなし すべてのクラス すべてのパッケージの階層 パッケージ階層: org.seasar.dbflute.maven.plugin , org....
    dbflute.seasar.org/maven/plugin/apidocs/overview-tree.html
    Mon Jun 09 08:56:33 UTC 2025
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  9. Out-of-core classification of text documents — ...

    ()[ 1 ], rotation = 30 ) ymax = max ( cls_runtime ) * 1.2 ax...__init__ ( self , encoding = "latin-1" ): HTMLParser . __init__ ( self...
    scikit-learn.org/stable/auto_examples/applications/plot_out_of_core_classification.html
    Fri Jun 06 09:13:46 UTC 2025
      162.4K bytes
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  10. Comparing different hierarchical linkage method...

    "connectivity matrix is [0-9]{1,2}" " > 1. Completing it to avoid stopping...y_pred ) + 1 ), ) ) ) plt . scatter ( X [:, 0 ], X [:, 1 ], s = 10...
    scikit-learn.org/stable/auto_examples/cluster/plot_linkage_comparison.html
    Fri Jun 06 09:13:46 UTC 2025
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