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  1. OrthogonalMatchingPursuit — scikit-learn 1.8.0 ...

    either set to 10% of n_features or 1, whichever is greater. tol float,...either set to 10% of n_features or 1, whichever is greater. n_features_in_...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.OrthogonalMatchingPursuit.html
    Mon Mar 23 20:39:21 UTC 2026
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  2. adjusted_rand_score — scikit-learn 1.8.0 docume...

    1 , 1 ], [ 0 , 0 , 1 , 1 ]) 1.0 >>> adjusted_rand_score...adjusted_rand_score ([ 0 , 0 , 1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 Labelings that...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.adjusted_rand_score.html
    Mon Mar 23 20:39:21 UTC 2026
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  3. CalibratedClassifierCV — scikit-learn 1.8.0 doc...

    means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn 1.8 Release Highlights for scikit-learn 1.8 On this...
    scikit-learn.org/stable/modules/generated/sklearn.calibration.CalibratedClassifierCV.html
    Mon Mar 23 20:39:21 UTC 2026
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  4. AdditiveChi2Sampler — scikit-learn 1.8.0 docume...

    transformed into 2*sample_steps-1 features, where sample_steps is...values of sample_steps include 1, 2 and 3. Optimal choices for...
    scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.AdditiveChi2Sampler.html
    Mon Mar 23 20:39:23 UTC 2026
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  5. TimeSeriesSplit — scikit-learn 1.8.0 documentation

    array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [...index=[0] Test: index=[1] Fold 1: Train: index=[0 1] Test: index=[2]...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html
    Mon Mar 23 20:39:20 UTC 2026
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  6. make_friedman2 — scikit-learn 1.8.0 documentation

    1 ] <= 560 * pi , 0 <= X [:, 2 ] <= 1 , 1 <= X [:, 3...** 2 + ( X [:, 1 ] * X [:, 2 ] - 1 / ( X [:, 1 ] * X [:, 3 ]))...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman2.html
    Mon Mar 23 20:39:20 UTC 2026
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  7. SelfTrainingClassifier — scikit-learn 1.8.0 doc...

    Added in version 1.6: estimator was added to replace...criterion='threshold' . Should be in [0, 1). When using the 'threshold' criterion,...
    scikit-learn.org/stable/modules/generated/sklearn.semi_supervised.SelfTrainingClassifier.html
    Mon Mar 23 20:39:23 UTC 2026
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  8. empirical_covariance — scikit-learn 1.8.0 docum...

    >>> X = [[ 1 , 1 , 1 ],[ 1 , 1 , 1 ],[ 1 , 1 , 1 ], ... [ 0 ,...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.empirical_covariance.html
    Mon Mar 23 20:39:21 UTC 2026
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  9. fastica — scikit-learn 1.8.0 documentation

    The implementation is based on [1] . Read more in the User Guide...performed. Changed in version 1.3: The default value of whiten...
    scikit-learn.org/stable/modules/generated/fastica-function.html
    Mon Mar 23 20:39:21 UTC 2026
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  10. LocalOutlierFactor — scikit-learn 1.8.0 documen...

    () array([[1., 0., 1.], [0., 1., 1.], [1., 0., 1.]]) predict...fit_predict ( X ) array([ 1, 1, -1, 1]) >>> clf . negative_outlier_factor_...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.LocalOutlierFactor.html
    Mon Mar 23 20:39:23 UTC 2026
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