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  1. LogisticRegressionCV — scikit-learn 1.8.0...

    l1_ratio = 1 it is an L1 penalty. For 0 < l1_ratio < 1 , the...since version 1.8: l1_ratios=None is deprecated in 1.8 and will...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegressionCV.html
    Mon Dec 29 13:14:49 GMT 2025
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  2. average_precision_score — scikit-learn 1....

    1 , 1 ]) >>> y_scores = np . array ([ 0.1 , 0.4..., 0.1 ], ... [ 0.4 , 0.3 , 0.3 ], ... [ 0.1 , 0.8 , 0.1 ], ......
    scikit-learn.org/stable/modules/generated/sklearn.metrics.average_precision_score.html
    Mon Dec 29 13:14:49 GMT 2025
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  3. paired_euclidean_distances — scikit-learn...

    [ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0...paired_euclidean_distances ( X , Y ) array([1., 1.]) On this page This Page...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.paired_euclidean_distances.html
    Mon Dec 29 13:14:49 GMT 2025
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  4. pairwise_distances_argmin — scikit-learn ...

    [ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0...deprecated from SciPy 1.9 and will be removed in SciPy 1.11. Note 'matching'...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances_argmin.html
    Mon Dec 29 13:14:49 GMT 2025
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  5. NuSVR — scikit-learn 1.8.0 documentation

    Added in version 1.1. n_support_ ndarray of shape (1,), dtype=int32...(0, 1]. By default 0.5 will be taken. C float, default=1.0 Penalty...
    scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVR.html
    Mon Dec 29 13:14:48 GMT 2025
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  6. ward_tree — scikit-learn 1.8.0 documentation

    array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2...children ndarray of shape (n_nodes-1, 2) The children of each non-leaf...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.ward_tree.html
    Mon Dec 29 13:14:49 GMT 2025
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  7. AffinityPropagation — scikit-learn 1.8.0 ...

    array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2.... labels_ array([0, 0, 0, 1, 1, 1]) >>> clustering ....
    scikit-learn.org/stable/modules/generated/sklearn.cluster.AffinityPropagation.html
    Mon Dec 29 13:14:49 GMT 2025
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  8. Release Highlights for scikit-learn 1.5 —...

    array([[-1.1, 1.1, 1.1], [ 3.9, -1.2, 1.1], [ 0.1, 1.3, 1.1], [-0.1,...[-0.1, -1.4, -1.4], [-4.9, 1.5, -1.5], [ 0.1, 1.6, 1.6]]) Pairwise...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_5_0.html
    Mon Dec 29 13:14:49 GMT 2025
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  9. PolynomialCountSketch — scikit-learn 1.8....

    [ 1 , 1 ], [ 1 , 0 ], [ 0 , 1 ]] >>> y...Array with random entries in {+1, -1}, used to represent the 2-wise...
    scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.PolynomialCountSketch.html
    Mon Dec 29 13:14:49 GMT 2025
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  10. mean_variance_axis — scikit-learn 1.8.0 d...

    1 , 2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2...of CSR or CSC format. axis {0, 1} Axis along which the axis should...
    scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.mean_variance_axis.html
    Mon Dec 29 13:14:49 GMT 2025
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