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  1. 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
    Fri Oct 10 15:14:33 UTC 2025
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  2. lasso_path — scikit-learn 1.7.2 documentation

    Gallery examples: Lasso, Lasso-LARS, and Elastic Net paths
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.lasso_path.html
    Fri Oct 10 15:14:35 UTC 2025
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  3. cross_validate — scikit-learn 1.7.2 documentation

    Gallery examples: Time-related feature engineering Lagged features for time series forecasting Categorical Feature Support in Gradient Boosting Features in Histogram Gradient Boosting Trees Combine...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_validate.html
    Fri Oct 10 15:14:35 UTC 2025
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  4. Caching nearest neighbors — scikit-learn 1.7.2 ...

    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
    Fri Oct 10 15:14:36 UTC 2025
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  5. 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
    Fri Oct 10 15:14:35 UTC 2025
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  6. make_blobs — scikit-learn 1.7.2 documentation

    Gallery examples: Probability calibration of classifiers Probability Calibration for 3-class classification Normal, Ledoit-Wolf and OAS Linear Discriminant Analysis for classification Demo of affin...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_blobs.html
    Fri Oct 10 15:14:36 UTC 2025
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  7. pairwise_distances — scikit-learn 1.7.2 documen...

    Gallery examples: Agglomerative clustering with different metrics Release Highlights for scikit-learn 1.5
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances.html
    Fri Oct 10 15:14:35 UTC 2025
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  8. check_estimator — scikit-learn 1.7.2 documentation

    Gallery examples: Release Highlights for scikit-learn 1.6
    scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.check_estimator.html
    Fri Oct 10 15:14:35 UTC 2025
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  9. sklearn.datasets — scikit-learn 1.7.2 documenta...

    Utilities to load popular datasets and artificial data generators. User guide. See the Dataset loading utilities section for further details. Loaders: Sample generators:
    scikit-learn.org/stable/api/sklearn.datasets.html
    Fri Oct 10 15:14:35 UTC 2025
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  10. validation_curve — scikit-learn 1.7.2 documenta...

    Gallery examples: Scaling the regularization parameter for SVCs
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.validation_curve.html
    Fri Oct 10 15:14:35 UTC 2025
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