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  1. PatchExtractor — scikit-learn 1.8.0 documentation

    1), it is taken to mean a proportion...load_sample_images () . images [ 1 ] >>> X = X [ None , ... ] >>>...
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.PatchExtractor.html
    Mon Mar 23 20:39:20 UTC 2026
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  2. VotingRegressor — scikit-learn 1.8.0 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
    Mon Mar 23 20:39:20 UTC 2026
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  3. inplace_column_scale — scikit-learn 1.8.0...

    1 , 2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2...csr . todense () matrix([[8, 1, 2], [0, 0, 5], [0, 0, 0], [0,...
    scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_column_scale.html
    Mon Feb 02 09:23:44 UTC 2026
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  4. DotProduct — scikit-learn 1.8.0 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
    Mon Mar 23 20:39:23 UTC 2026
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  5. PassiveAggressiveRegressor — scikit-learn 1.8.0...

    deprecated in version 1.8 and will be removed in 1.10. Instead use:...PassiveAggressiveReg ( * , C = 1.0 , fit_intercept = True , max_iter...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveRegressor.html
    Mon Mar 23 20:39:21 UTC 2026
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  6. murmurhash3_32 — scikit-learn 1.8.0 documentation

    unsigned int from 0 to 2 ** 32 - 1 False: the results is casted to...from -(2 ** 31) to 2 ** 31 - 1 Examples >>> from sklearn.utils...
    scikit-learn.org/stable/modules/generated/sklearn.utils.murmurhash3_32.html
    Mon Mar 23 20:39:23 UTC 2026
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  7. f_regression — scikit-learn 1.8.0 documentation

    r_regression values lie in [-1, 1] and can thus be negative. f_regression...set to 0.0 . Added in version 1.1. Returns : f_statistic ndarray...
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.f_regression.html
    Mon Mar 23 20:39:21 UTC 2026
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  8. CCA — scikit-learn 1.8.0 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
    Mon Mar 23 20:39:21 UTC 2026
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  9. Isotonic Regression — scikit-learn 1.8.0 docume...

    versionadded:: 1.7 1e-06 n_jobs n_jobs: int, default=None...that is if firstly `n_targets > 1` and secondly `X` is sparse or...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_isotonic_regression.html
    Mon Mar 23 20:39:21 UTC 2026
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  10. isotonic_regression — scikit-learn 1.8.0 docume...

    weight is set to 1 (equal weights). y_min float,...isotonic_regression ([ 5 , 3 , 1 , 2 , 8 , 10 , 7 , 9 , 6 , 4 ])...
    scikit-learn.org/stable/modules/generated/sklearn.isotonic.isotonic_regression.html
    Mon Mar 23 20:39:21 UTC 2026
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