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  1. MinCovDet — scikit-learn 1.8.0 documentation

    algorithm: (n_samples + n_features + 1) / 2 * n_samples . The parameter...parameter must be in the range (0, 1]. random_state int, RandomState...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.MinCovDet.html
    Mon Mar 23 20:39:20 UTC 2026
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  2. ClassicalMDS — scikit-learn 1.8.0 documentation

    scikit-learn 1.8 Release Highlights for scikit-learn 1.8 On this...non-metric MDS. References [ 1 ] “Modern Multidimensional Scaling...
    scikit-learn.org/stable/modules/generated/sklearn.manifold.ClassicalMDS.html
    Mon Mar 23 20:39:21 UTC 2026
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  3. Time-related feature engineering — scikit-learn...

    spring 0 1 0 False 6 False clear 9.84 14.395 0.81 0.0000 1 spring...spring 0 1 1 False 6 False clear 9.02 13.635 0.80 0.0000 2 spring...
    scikit-learn.org/stable/auto_examples/applications/plot_cyclical_feature_engineering.html
    Mon Mar 23 20:39:22 UTC 2026
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  4. TargetEncoder — scikit-learn 1.8.0 documentation

    1 ] * 15 + [ 20.4 ] * 5 + [ 20.1 ] * 25 + [ 21.2...scikit-learn 1.3 Release Highlights for scikit-learn 1.3 On this...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.TargetEncoder.html
    Mon Mar 23 20:39:23 UTC 2026
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  5. Polynomial and Spline interpolation — scikit-le...

    n_samples rows and degree + 1 columns: [[ 1 , x_0 , x_0 ** 2 , x_0...( X_plot )) axes [ 1 ] . legend ( axes [ 1 ] . lines , [ f "spline...
    scikit-learn.org/stable/auto_examples/linear_model/plot_polynomial_interpolation.html
    Mon Mar 23 20:39:20 UTC 2026
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  6. Kernel — scikit-learn 1.8.0 documentation

    length_scale = 1.0 ): ... self . length_scale =...2.0 ) >>> X = np . array ([[ 1 , 2 ], [ 3 , 4 ]]) >>> print (...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Kernel.html
    Mon Mar 23 20:39:23 UTC 2026
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  7. Demo of DBSCAN clustering algorithm — scikit-le...

    centers = [[ 1 , 1 ], [ - 1 , - 1 ], [ 1 , - 1 ]] X , labels_true...len ( set ( labels )) - ( 1 if - 1 in labels else 0 ) n_noise_...
    scikit-learn.org/stable/auto_examples/cluster/plot_dbscan.html
    Mon Mar 23 20:39:22 UTC 2026
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  8. ConstantKernel — scikit-learn 1.8.0 documentation

    predict ( X [: 1 ,:], return_std = True ) (array([606.1]), array([0.248]))...ConstantKernel ( constant_value = 1.0 , constant_value_bounds = (1e-05,...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.ConstantKernel.html
    Mon Mar 23 20:39:20 UTC 2026
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  9. fetch_lfw_pairs — scikit-learn 1.8.0 documentation

    Added in version 1.5. delay float, default=1.0 Number of seconds...True , n_retries = 3 , delay = 1.0 ) [source] # Load the Labeled...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_lfw_pairs.html
    Mon Mar 23 20:39:20 UTC 2026
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  10. Metadata Routing — scikit-learn 1.8.0 documenta...

    array([1., 1., 1.]) Routing Meta-Estimator...ExampleClassifier. array([1., 1., 1.]) Deprecation / Default Value...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_metadata_routing.html
    Mon Mar 23 20:39:20 UTC 2026
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