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  1. 9.3. Parallelism, resource management, and conf...

    2.2.2. SKLEARN_WORKING_MEMORY # Sets...J. Fan . 9.3.2. Configuration switches # 9.3.2.1. Python API...
    scikit-learn.org/stable/computing/parallelism.html
    Wed Sep 17 19:58:00 UTC 2025
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  2. assert_all_finite — scikit-learn 1.7.2 document...

    Skip to main content Back to top Ctrl + K GitHub Choose version assert_all_finite # sklearn.utils. assert_all_finite ...
    scikit-learn.org/stable/modules/generated/sklearn.utils.assert_all_finite.html
    Mon Sep 15 09:31:45 UTC 2025
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  3. l1_min_c — scikit-learn 1.7.2 documentation

    Gallery examples: Regularization path of L1- Logistic Regression
    scikit-learn.org/stable/modules/generated/sklearn.svm.l1_min_c.html
    Tue Sep 16 14:38:55 UTC 2025
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  4. enable_iterative_imputer — scikit-learn 1.7.2 d...

    Enables IterativeImputer The API and results of this estimator might change without any deprecation cycle. Importing this file dynamically sets IterativeImputer as an attribute of the impute module:
    scikit-learn.org/stable/modules/generated/sklearn.experimental.enable_iterative_imputer.html
    Wed Sep 17 19:58:00 UTC 2025
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  5. precision_recall_curve — scikit-learn 1.7.2 doc...

    Gallery examples: Visualizations with Display Objects Precision-Recall
    scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_curve.html
    Wed Sep 17 19:58:00 UTC 2025
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  6. orthogonal_mp_gram — scikit-learn 1.7.2 documen...

    Skip to main content Back to top Ctrl + K GitHub Choose version orthogonal_mp_gram # sklearn.linear_model. orthogonal...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.orthogonal_mp_gram.html
    Wed Sep 17 19:57:58 UTC 2025
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  7. sklearn.neural_network — scikit-learn 1.7.2 doc...

    Models based on neural networks. User guide. See the Neural network models (supervised) and Neural network models (unsupervised) sections for further details.
    scikit-learn.org/stable/api/sklearn.neural_network.html
    Wed Sep 17 19:57:59 UTC 2025
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  8. make_column_transformer — scikit-learn 1.7.2 do...

    Gallery examples: Categorical Feature Support in Gradient Boosting Combine predictors using stacking Common pitfalls in the interpretation of coefficients of linear models Displaying estimators and...
    scikit-learn.org/stable/modules/generated/sklearn.compose.make_column_transformer.html
    Wed Sep 17 19:57:58 UTC 2025
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  9. make_s_curve — scikit-learn 1.7.2 documentation

    Gallery examples: Comparison of Manifold Learning methods t-SNE: The effect of various perplexity values on the shape
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_s_curve.html
    Wed Sep 17 19:58:00 UTC 2025
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  10. check_random_state — scikit-learn 1.7.2 documen...

    Gallery examples: Empirical evaluation of the impact of k-means initialization MNIST classification using multinomial logistic + L1 Manifold Learning methods on a severed sphere Isotonic Regression...
    scikit-learn.org/stable/modules/generated/sklearn.utils.check_random_state.html
    Wed Sep 17 19:58:00 UTC 2025
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