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  1. sklearn.kernel_approximation — scikit-learn 1.7...

    Approximate kernel feature maps based on Fourier transforms and count sketches. User guide. See the Kernel Approximation section for further details.
    scikit-learn.org/stable/api/sklearn.kernel_approximation.html
    Sat Oct 11 07:51:27 UTC 2025
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  2. fetch_california_housing — scikit-learn 1.7.2 d...

    Gallery examples: Comparing Random Forests and Histogram Gradient Boosting models Early stopping in Gradient Boosting Imputing missing values with variants of IterativeImputer Imputing missing valu...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_california_housing.html
    Sat Oct 11 07:51:27 UTC 2025
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  3. load_sample_image — scikit-learn 1.7.2 document...

    Skip to main content Back to top Ctrl + K GitHub Choose version load_sample_image # sklearn.datasets. load_sample_ima...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.load_sample_image.html
    Sat Oct 11 07:51:27 UTC 2025
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  4. fetch_species_distributions — scikit-learn 1.7....

    Gallery examples: Species distribution modeling Kernel Density Estimate of Species Distributions
    scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_species_distributions.html
    Sat Oct 11 07:51:25 UTC 2025
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  5. has_fit_parameter — scikit-learn 1.7.2 document...

    Skip to main content Back to top Ctrl + K GitHub Choose version has_fit_parameter # sklearn.utils.validation. has_fit...
    scikit-learn.org/stable/modules/generated/sklearn.utils.validation.has_fit_parameter.html
    Thu Oct 09 16:57:45 UTC 2025
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  6. estimator_html_repr — scikit-learn 1.7.2 docume...

    Skip to main content Back to top Ctrl + K GitHub Choose version estimator_html_repr # sklearn.utils. estimator_html_r...
    scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_html_repr.html
    Thu Oct 09 16:57:45 UTC 2025
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  7. balanced_accuracy_score — scikit-learn 1.7.2 do...

    Skip to main content Back to top Ctrl + K GitHub Choose version balanced_accuracy_score # sklearn.metrics. balanced_a...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.balanced_accuracy_score.html
    Sat Oct 11 07:51:26 UTC 2025
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  8. mean_poisson_deviance — scikit-learn 1.7.2 docu...

    Gallery examples: Poisson regression and non-normal loss
    scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_poisson_deviance.html
    Sat Oct 11 07:51:27 UTC 2025
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  9. SGD: convex loss functions — scikit-learn 1.7.2...

    A plot that compares the various convex loss functions supported by SGDClassifier. Total running time of the script:(0 minutes 0.094 seconds) Launch binder Launch JupyterLite Download Jupyter noteb...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_loss_functions.html
    Sat Oct 11 07:51:25 UTC 2025
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  10. 8. Dataset loading utilities — scikit-learn 1.7...

    The sklearn.datasets package embeds some small toy datasets and provides helpers to fetch larger datasets commonly used by the machine learning community to benchmark algorithms on data that comes ...
    scikit-learn.org/stable/datasets.html
    Sat Oct 11 07:51:26 UTC 2025
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