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  1. SVM Exercise — scikit-learn 1.5.2 documentation

    : 2 ] y = y [ y != 0 ] n_sample =...
    scikit-learn.org/stable/auto_examples/exercises/plot_iris_exercise.html
    Thu Sep 19 14:56:27 UTC 2024
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  2. Successive Halving Iterations — scikit-learn 1....

    "min_samples_split" : randint ( 2 , 11 ), "bootstrap" : [ True ,...param_distributions = param_dist , factor = 2 , random_state = rng ) rsh . fit...
    scikit-learn.org/stable/auto_examples/model_selection/plot_successive_halving_iterations.html
    Thu Sep 19 14:56:27 UTC 2024
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  3. normalized_mutual_info_score — scikit-learn 1.5...

    2 , 3 ]) ... 0.0 Gallery examples...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.normalized_mutual_info_score.html
    Thu Sep 19 14:56:27 UTC 2024
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  4. export_text — scikit-learn 1.5.2 documentation

    decimals = 2 , show_weights = False ) [source]...result. decimals int, default=2 Number of decimal digits to display....
    scikit-learn.org/stable/modules/generated/sklearn.tree.export_text.html
    Tue Sep 17 17:21:48 UTC 2024
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  5. Release Highlights for scikit-learn 1.0 — sciki...

    2 Release Highlights for scikit-learn 1.2 Release Highlights...SplineTransformer ( degree = 2 , n_knots = 3 ) spline . fit_transform...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_0_0.html
    Thu Sep 19 14:56:27 UTC 2024
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  6. Logistic function — scikit-learn 1.5.2 document...

    Shown in the plot is how the logistic regression would, in this synthetic dataset, classify values as either 0 or 1, i.e. class one or two, using the logistic curve. Total running time of the scrip...
    scikit-learn.org/stable/auto_examples/linear_model/plot_logistic.html
    Thu Sep 19 14:56:27 UTC 2024
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  7. Covariance estimation — scikit-learn 1.5.2 docu...

    Examples concerning the sklearn.covariance module. Ledoit-Wolf vs OAS estimation Robust covariance estimation and Mahalanobis distances relevance Robust vs Empirical covariance estimate Shrinkage c...
    scikit-learn.org/stable/auto_examples/covariance/index.html
    Thu Sep 19 14:56:28 UTC 2024
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  8. Kernel Approximation — scikit-learn 1.5.2 docum...

    Examples concerning the sklearn.kernel_approximation module. Scalable learning with polynomial kernel approximation
    scikit-learn.org/stable/auto_examples/kernel_approximation/index.html
    Thu Sep 19 14:56:26 UTC 2024
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  9. Developing Estimators — scikit-learn 1.5.2 docu...

    Examples concerning the development of Custom Estimator.__sklearn_is_fitted__ as Developer API
    scikit-learn.org/stable/auto_examples/developing_estimators/index.html
    Thu Sep 19 14:56:27 UTC 2024
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  10. Precision-Recall — scikit-learn 1.5.2 documenta...

    train_test_split ( X [ y < 2 ], y [ y < 2 ], test_size = 0.5 , random_state...display . ax_ . set_title ( "2-class Precision-Recall curve"...
    scikit-learn.org/stable/auto_examples/model_selection/plot_precision_recall.html
    Thu Sep 19 14:56:27 UTC 2024
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