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  1. OrdinalEncoder — scikit-learn 1.7.2 documentation

    transform ( X_test ) array([[2.], [0.], [1.], [2.], [3.], [4.]]) fit (...scikit-learn 1.2 Release Highlights for scikit-learn 1.2 Release Highlights...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OrdinalEncoder.html
    Sun Nov 09 07:16:24 UTC 2025
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  2. 3.1. Cross-validation: evaluating estimator per...

    2 , 2 , 2 , 2 ] >>> groups = [ 1 , 1 , 2 , 2 , 3 , 3...)) [2 3] [0 1] [1 3] [0 2] [1 2] [0 3] [0 3] [1 2] [0 2] [1 3]...
    scikit-learn.org/stable/modules/cross_validation.html
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  3. 2.4. Biclustering — scikit-learn 1.7.2 document...

    2 ]) >>> data [ rows , columns ] array([[ 1, 2], [21,...as follows: \[A_n = R^{-1/2} A C^{-1/2}\] Where \(R\) is the diagonal...
    scikit-learn.org/stable/modules/biclustering.html
    Sun Nov 09 07:16:24 UTC 2025
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  4. FeatureHasher — scikit-learn 1.7.2 documentation

    'cat' : 2 , 'elephant' : 4 },{ 'dog' : 2 , 'run' : 5 }]...0., 0., 0., 0., 0., 2.], [ 0., 0., 0., -2., -5., 0., 0., 0., 0.,...
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.FeatureHasher.html
    Sun Nov 09 07:16:25 UTC 2025
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  5. 7.2. Feature extraction — scikit-learn 1.7.2 do...

    2.0986]}{\sqrt{\big(3^2 + 0^2 + 2.0986^2\big)}} = [...\frac{v}{||v||_2} = \frac{v}{\sqrt{v{_1}^2 + v{_2}^2 + \dots + v{_n}^2}}\)...
    scikit-learn.org/stable/modules/feature_extraction.html
    Sun Nov 09 07:16:25 UTC 2025
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  6. Kernel — scikit-learn 1.7.2 documentation

    length_scale = 2.0 ) >>> X = np . array ([[ 1 , 2 ], [ 3 , 4 ]])..., X if Y is None else Y ) ** 2 ... def diag ( self , X ): ......
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Kernel.html
    Sun Nov 09 07:16:25 UTC 2025
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  7. AgglomerativeClustering — scikit-learn 1.7.2 do...

    2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2 ], [ 4 , 4...AgglomerativeCluster ( n_clusters = 2 , * , metric = 'euclidean' , memory...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.AgglomerativeClustering.html
    Sun Nov 09 07:16:24 UTC 2025
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  8. RandomizedSearchCV — scikit-learn 1.7.2 documen...

    2 0.84 … 3 ‘rbf’ 0.3 0.70 … 2 will be represented...verbose = 0 , pre_dispatch = '2*n_jobs' , random_state = None...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html
    Sun Nov 09 07:16:24 UTC 2025
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  9. Ridge — scikit-learn 1.7.2 documentation

    function: || y - Xw ||^ 2_2 + alpha * || w ||^ 2_2 This model solves...float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.Ridge.html
    Sun Nov 09 07:16:24 UTC 2025
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  10. SpectralEmbedding — scikit-learn 1.7.2 document...

    SpectralEmbedding ( n_components = 2 , * , affinity = 'nearest_neighbors'...Parameters : n_components int, default=2 The dimension of the projected...
    scikit-learn.org/stable/modules/generated/sklearn.manifold.SpectralEmbedding.html
    Sun Nov 09 07:16:24 UTC 2025
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