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  1. ShrunkCovariance — scikit-learn 1.7.0 documenta...

    1 ) [source] # Covariance estimator...computation. shrinkage float, default=0.1 Coefficient in the convex combination...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.ShrunkCovariance.html
    Fri Jun 06 09:13:47 UTC 2025
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  2. Understanding the decision tree structure — sci...

    node=1 is a leaf node with value=[[1. 0. 0.]]. node=2...min_samples_split 2 min_samples_leaf 1 min_weight_fraction_leaf 0.0 max_features...
    scikit-learn.org/stable/auto_examples/tree/plot_unveil_tree_structure.html
    Fri Jun 06 09:13:46 UTC 2025
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  3. DistanceMetric — scikit-learn 1.7.0 documentation

    get_metric ( 'euclidean' ) >>> X = [[ 1 , 2 ], [ 3 , 4 ], [ 5 , 6 ]] >>>...10.63...] [5.65..., 8.48...] [1.41..., 4.24...]]) Available Metrics...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.DistanceMetric.html
    Fri Jun 06 09:13:47 UTC 2025
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  4. A demo of the Spectral Biclustering algorithm —...

    consensus score: 1.0 The score is between 0 and 1, where 1 corresponds...and adds 1 to each to ensure that the labels start from 1 instead...
    scikit-learn.org/stable/auto_examples/bicluster/plot_spectral_biclustering.html
    Fri Jun 06 09:13:47 UTC 2025
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  5. Early stopping in Gradient Boosting — scikit-le...

    axes [ 1 ] . set_xlabel ( "Boosting Iterations" ) axes [ 1 ] . set_ylabel...(Validation)" ) axes [ 1 ] . set_yscale ( "log" ) axes [ 1 ] . legend ()...
    scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_early_stopping.html
    Fri Jun 06 09:13:47 UTC 2025
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  6. Two-class AdaBoost — scikit-learn 1.7.0 documen...

    random_state = 1 ) X2 , y2 = make_gaussian_quantiles...es ( mean = ( 3 , 3 ), cov = 1.5 , n_samples = 300 , n_features...
    scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_twoclass.html
    Fri Jun 06 09:13:47 UTC 2025
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  7. SelectorMixin — scikit-learn 1.7.0 documentation

    shape [ 1 ] ... return self ... def _get_support_mask..."x1", ..., "x(n_features_in_ - 1)"] . If input_features is an array-like,...
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectorMixin.html
    Fri Jun 06 09:13:47 UTC 2025
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  8. SGD: Weighted samples — scikit-learn 1.7.0 docu...

    ) + [ 1 , 1 ], np . random . randn ( 10 , 2 )] y = [ 1 ] * 10...10 + [ - 1 ] * 10 sample_weight = 100 * np . abs ( np . random...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_weighted_samples.html
    Fri Jun 06 09:13:47 UTC 2025
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  9. delayed — scikit-learn 1.7.0 documentation

    Changed in version 1.3: delayed was moved from sklearn.utils.fixes...sklearn.utils.parallel in scikit-learn 1.3. Parameters : function callable...
    scikit-learn.org/stable/modules/generated/sklearn.utils.parallel.delayed.html
    Fri Jun 06 09:13:47 UTC 2025
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  10. 12.1. Array API support (experimental) — scikit...

    1.1.1. PyTorch Support # PyTorch Tensors...Thomas Fan at PyData NYC 2023. 12.1.1. Example usage # Here is an example...
    scikit-learn.org/stable/modules/array_api.html
    Fri Jun 06 09:13:46 UTC 2025
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