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  1. PoissonRegressor — scikit-learn 1.8.0 documenta...

    max_iter = 100 , tol = 0.0001 , warm_start = False , verbose = 0 ) [source]...np.float64(0.990) >>> clf . coef_ array([0.121, 0.158]) >>> clf...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.PoissonRegressor.html
    Mon Mar 23 20:39:21 UTC 2026
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  2. SGDRegressor — scikit-learn 1.8.0 documentation

    be in the range (0.0, 1.0) . Added in version 0.20: Added ‘validation_fraction’...max_iter = 1000 , tol = 0.001 , shuffle = True , verbose = 0 , epsilon...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDRegressor.html
    Mon Mar 23 20:39:20 UTC 2026
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  3. RandomForestClassifier — scikit-learn 1.8.0 doc...

    be [{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...in the interval (0.0, 1.0] . Added in version 0.22. monotonic_cst...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html
    Mon Mar 23 20:39:20 UTC 2026
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  4. GridSearchCV — scikit-learn 1.8.0 documentation

    0.06 , 0.04 , 0.04 ], 'std_score_time' : [ 0.00 , 0.00 , 0.00..., 0.75 , 0.85 ], 'std_test_score' : [ 0.01 , 0.10 , 0.05 , 0.08...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html
    Mon Mar 23 20:39:21 UTC 2026
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  5. DecisionBoundaryDisplay — scikit-learn 1.8.0 do...

    grid_resolution = 100 , eps = 1.0 , plot_method = 'contourf'...Regression . Added in version 1.1. Parameters : xx0 ndarray of...
    scikit-learn.org/stable/modules/generated/sklearn.inspection.DecisionBoundaryDisplay.html
    Mon Mar 23 20:39:21 UTC 2026
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  6. LassoLarsCV — scikit-learn 1.8.0 documentation

    means 1 unless in a joblib.parallel_backend context. -1 means...all strings. Added in version 1.0. See also lars_path Compute Least...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsCV.html
    Mon Mar 23 20:39:20 UTC 2026
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  7. RidgeClassifier — scikit-learn 1.8.0 documentation

    RidgeClassifier ( alpha = 1.0 , * , fit_intercept = True ,...True , max_iter = None , tol = 0.0001 , class_weight = None , solver...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeClassifier.html
    Mon Mar 23 20:39:23 UTC 2026
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  8. TheilSenRegressor — scikit-learn 1.8.0 document...

    max_subpopulation = 10000.0 , n_subsamples = None , max_iter...max_iter = 300 , tol = 0.001 , random_state = None , n_jobs = None...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.TheilSenRegressor.html
    Mon Mar 23 20:39:21 UTC 2026
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  9. make_classification — scikit-learn 1.8.0 docume...

    flip_y = 0.01 , class_sep = 1.0 , hypercube = True , shift = 0.0 ,...[np.int64(0), np.int64(0), np.int64(1), np.int64(1), np.int64(0)] Gallery...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_classification.html
    Mon Mar 23 20:39:23 UTC 2026
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  10. plot_classifier_comparison.rst.txt

    - 0.5, X[:, 0].max() + 0.5 y_min, y_max = X[:, 1].min() - 0.5,...random_state=42), GaussianProcessClass(1.0 * RBF(1.0), random_state=42), Dec...
    scikit-learn.org/stable/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt
    Mon Mar 23 20:39:23 UTC 2026
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