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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 -
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 -
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 -
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 -
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 -
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 -
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 -
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 -
Nearest Centroid Classification — scikit-learn ...
1 ], c = y , cmap = cmap_bold ,...scikit-learn.org/stable/auto_examples/neighbors/plot_nearest_centroid.html -
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