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  1. sklearn.impute — scikit-learn 1.7.1 documentation

    Transformers for missing value imputation. User guide. See the Imputation of missing values section for further details.
    scikit-learn.org/stable/api/sklearn.impute.html
    Sat Aug 23 16:32:03 UTC 2025
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  2. Caching nearest neighbors — scikit-learn 1.7.1 ...

    This example demonstrates how to precompute the k nearest neighbors before using them in KNeighborsClassifier. KNeighborsClassifier can compute the nearest neighbors internally, but precomputing th...
    scikit-learn.org/stable/auto_examples/neighbors/plot_caching_nearest_neighbors.html
    Sat Aug 23 16:32:04 UTC 2025
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  3. check_estimator — scikit-learn 1.7.1 documentation

    Gallery examples: Release Highlights for scikit-learn 1.6
    scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.check_estimator.html
    Sat Aug 23 16:32:03 UTC 2025
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  4. Comparison of Calibration of Classifiers — scik...

    Well calibrated classifiers are probabilistic classifiers for which the output of predict_proba can be directly interpreted as a confidence level. For instance, a well calibrated (binary) classifie...
    scikit-learn.org/stable/auto_examples/calibration/plot_compare_calibration.html
    Sat Aug 23 16:32:04 UTC 2025
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  5. Vector Quantization Example — scikit-learn 1.7....

    This example shows how one can use KBinsDiscretizer to perform vector quantization on a set of toy image, the raccoon face. Original image: We start by loading the raccoon face image from SciPy. We...
    scikit-learn.org/stable/auto_examples/cluster/plot_face_compress.html
    Sat Aug 23 16:32:03 UTC 2025
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  6. validation_curve — scikit-learn 1.7.1 documenta...

    Gallery examples: Scaling the regularization parameter for SVCs
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.validation_curve.html
    Sat Aug 23 16:32:04 UTC 2025
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  7. Examples of Using FrozenEstimator — scikit-lear...

    This example showcases some use cases of FrozenEstimator. FrozenEstimator is a utility class that allows to freeze a fitted estimator. This is useful, for instance, when we want to pass a fitted es...
    scikit-learn.org/stable/auto_examples/frozen/plot_frozen_examples.html
    Sat Aug 23 16:32:04 UTC 2025
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  8. f_regression — scikit-learn 1.7.1 documentation

    Gallery examples: Feature agglomeration vs. univariate selection Comparison of F-test and mutual information
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.f_regression.html
    Sat Aug 23 16:32:04 UTC 2025
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  9. lasso_path — scikit-learn 1.7.1 documentation

    Gallery examples: Lasso, Lasso-LARS, and Elastic Net paths
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.lasso_path.html
    Sat Aug 23 16:32:04 UTC 2025
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  10. Robust covariance estimation and Mahalanobis di...

    This example shows covariance estimation with Mahalanobis distances on Gaussian distributed data. For Gaussian distributed data, the distance of an observation x_i to the mode of the distribution c...
    scikit-learn.org/stable/auto_examples/covariance/plot_mahalanobis_distances.html
    Sat Aug 23 16:32:04 UTC 2025
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