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  1. MultiOutputRegressor — scikit-learn 1.8.0 docum...

    means 1 unless in a joblib.parallel_backend context. -1 means...X [[ 0 ]]) array([[176, 35.1, 57.1]]) fit ( X , y , sample_weight...
    scikit-learn.org/stable/modules/generated/sklearn.multioutput.MultiOutputRegressor.html
    Mon Mar 23 20:39:21 UTC 2026
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  2. make_low_rank_matrix — scikit-learn 1.8.0 docum...

    profile is: ( 1 - tail_strength ) * exp ( - 1.0 * ( i / effective_rank...scikit-learn 1.3 Release Highlights for scikit-learn 1.3 Release...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_low_rank_matrix.html
    Mon Mar 23 20:39:21 UTC 2026
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  3. GraphicalLassoCV — scikit-learn 1.8.0 documenta...

    means 1 unless in a joblib.parallel_backend context. -1 means...0.2 , 0.0 , 0.3 , 0.1 ], ... [ 0.0 , 0.0 , 0.1 , 0.7 ]]) >>> np...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.GraphicalLassoCV.html
    Mon Mar 23 20:39:23 UTC 2026
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  4. 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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  5. 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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  6. 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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  7. 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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  8. 1.11. Ensembles: Gradient boosting, random fore...

    Gradient Boosting models 1.11.1.1.1. Usage # Most of the parameters...= [[ 1 , 0 ], ... [ 1 , 0 ], ... [ 1 , 0 ], ... [ 0 , 1 ]] >>>...
    scikit-learn.org/stable/modules/ensemble.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. MultinomialNB — scikit-learn 1.8.0 documentation

    Added in version 1.2. Changed in version 1.4: The default value... MultinomialNB ( * , alpha = 1.0 , force_alpha = True , fit_prior...
    scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html
    Mon Mar 23 20:39:23 UTC 2026
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