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  1. sklearn.random_projection — scikit-learn 1.6.0 ...

    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 Dec 20 11:14:14 UTC 2024
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  2. sklearn.naive_bayes — scikit-learn 1.6.0 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 Dec 20 11:14:14 UTC 2024
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  3. 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
    Tue Nov 12 15:10:59 UTC 2024
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  4. sklearn.kernel_approximation — scikit-learn 1.6...

    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
    Mon Dec 23 08:41:44 UTC 2024
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  5. 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
    Mon Dec 23 08:41:44 UTC 2024
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  6. register_parallel_backend — scikit-learn 1.6.0 ...

    Skip to main content Back to top Ctrl + K GitHub Choose version register_parallel_backend # sklearn.utils. register_p...
    scikit-learn.org/stable/modules/generated/sklearn.utils.register_parallel_backend.html
    Mon Dec 23 08:41:44 UTC 2024
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  7. sklearn.linear_model — scikit-learn 1.7.dev0 do...

    A variety of linear models. User guide. See the Linear Models section for further details. The following subsections are only rough guidelines: the same estimator can fall into multiple categories,...
    scikit-learn.org/dev/api/sklearn.linear_model.html
    Mon Dec 23 08:41:45 UTC 2024
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  8. sklearn.gaussian_process — scikit-learn 1.6.0 d...

    kernel takes two kernels \(k_1\) and \(k_2\) and combines them...kernel takes two kernels \(k_1\) and \(k_2\) and combines them...
    scikit-learn.org/stable/api/sklearn.gaussian_process.html
    Mon Dec 23 08:41:44 UTC 2024
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  9. Segmenting the picture of greek coins in region...

    1.93s Spectral clustering: cluster_qr, 1.99s Total...the # actual image. For beta=1, the segmentation is close to...
    scikit-learn.org/stable/auto_examples/cluster/plot_coin_segmentation.html
    Mon Dec 23 08:41:44 UTC 2024
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  10. Support — scikit-learn 1.6.0 documentation

    Resources # This documentation is for 1.6.0. Find documentation for other...
    scikit-learn.org/stable/support.html
    Mon Dec 23 08:41:44 UTC 2024
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