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  1. MiniBatchDictionaryLearning — scikit-learn 1.7....

    * || U || _1 , 1 ( U , V ) with || V_k || _2 <= 1 for all 0 <=...the Frobenius norm and ||.||_1,1 stands for the entry-wise matrix...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchDictionaryLearning.html
    Thu Oct 30 14:56:38 UTC 2025
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  2. LabelSpreading — scikit-learn 1.7.2 documentation

    means 1 unless in a joblib.parallel_backend context. -1 means...Clamping factor. A value in (0, 1) that specifies the relative amount...
    scikit-learn.org/stable/modules/generated/sklearn.semi_supervised.LabelSpreading.html
    Thu Oct 30 14:56:38 UTC 2025
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  3. GroupKFold — scikit-learn 1.7.2 documentation

    index=[0 1 4 5], group=[0 0 3 3] Fold 1: Train: index=[0 1 4 5],...scikit-learn 1.4 Release Highlights for scikit-learn 1.4 On this...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupKFold.html
    Thu Oct 30 14:56:38 UTC 2025
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  4. HistGradientBoostingClassifier — scikit-learn 1...

    that categorical values of 1.0 and 1 are treated as the same category....version 1.4: Added "from_dtype" option. Changed in version 1.6: The...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html
    Thu Oct 30 14:56:38 UTC 2025
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  5. PassiveAggressiveClassifier — scikit-learn 1.7....

    default=1.0 Maximum step size (regularization). Defaults to 1.0. fit_intercept...means 1 unless in a joblib.parallel_backend context. -1 means...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveClassifier.html
    Thu Oct 30 14:56:38 UTC 2025
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  6. KernelPCA — scikit-learn 1.7.2 documentation

    coef0 = 1 , kernel_params = None , alpha = 1.0 , fit_inverse_transform...means 1 unless in a joblib.parallel_backend context. -1 means...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.KernelPCA.html
    Thu Oct 30 14:56:39 UTC 2025
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  7. VotingRegressor — scikit-learn 1.7.2 documentation

    means 1 unless in a joblib.parallel_backend context. -1 means...KNeighborsRegressor () >>> X = np . array ([[ 1 , 1 ], [ 2 , 4 ], [ 3 , 9 ], [ 4...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingRegressor.html
    Thu Oct 30 14:56:38 UTC 2025
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  8. DotProduct — scikit-learn 1.7.2 documentation

    1)\) priors on the coefficients of \(x_d (d = 1, . . ....nels. DotProduct ( sigma_0 = 1.0 , sigma_0_bounds = (1e-05, 100000.0)...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.DotProduct.html
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  9. Older Versions — scikit-learn 1.7.2 documentation

    1 Meng Xinfan 1 Rob Zinkov 1 Shiqiao 1 Udi Weinsberg 1 Virgile...Cournapeau 1 Keith Goodman 1 Ludwig Schwardt 1 Olivier Hervieu 1 Sergio...
    scikit-learn.org/stable/whats_new/older_versions.html
    Thu Oct 30 14:56:38 UTC 2025
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  10. CCA — scikit-learn 1.7.2 documentation

    1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ],...intercept_ . Added in version 1.1. n_iter_ list of shape (n_components,)...
    scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.CCA.html
    Thu Oct 30 14:56:38 UTC 2025
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