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  1. Fitting an Elastic Net with a precomputed Gram ...

    2.65799352e+02], ..., [-2.25349312e+02, -1.07963978e+03,...-4.48938813e+02, -1.03237920e+03, ..., -2.25349312e+02, -3.53959628e+02,...
    scikit-learn.org/stable/auto_examples/linear_model/plot_elastic_net_precomputed_gram_matrix_with_...
    Mon Nov 03 14:20:04 UTC 2025
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  2. Compare the effect of different scalers on data...

    2, 0.2] range for the transformed...block longitude" , } # Take only 2 features to make visualization...
    scikit-learn.org/stable/auto_examples/preprocessing/plot_all_scaling.html
    Mon Nov 03 14:20:03 UTC 2025
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  3. Iso-probability lines for Gaussian Processes cl...

    0256**2 * DotProduct(sigma_0=5.72) ** 2 # Authors: The...[:, 1 ] - 0.5 * x [:, 0 ] ** 2.0 # Design of experiments X =...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_isoprobability.html
    Mon Nov 03 14:20:05 UTC 2025
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  4. Common pitfalls in the interpretation of coeffi...

    534 534 unique NaN 2 2 NaN 2 NaN 3 6 3 2 top NaN no male NaN...36.833333 NaN NaN NaN NaN std 2.615373 NaN NaN 12.379710 NaN 11.726573...
    scikit-learn.org/stable/auto_examples/inspection/plot_linear_model_coefficient_interpretation.html
    Mon Nov 03 14:20:05 UTC 2025
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  5. Version 0.23 — scikit-learn 1.7.2 documentation

    2 # Changed models # The following...by avoiding slower BLAS Level 2 calls on small arrays #17021 by...
    scikit-learn.org/stable/whats_new/v0.23.html
    Mon Nov 03 14:20:04 UTC 2025
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  6. 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
    Fri Oct 31 16:42:55 UTC 2025
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  7. 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
    Sat Nov 01 09:15:33 UTC 2025
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  8. 13. Choosing the right estimator — scikit-learn...

    Often the hardest part of solving a machine learning problem can be finding the right estimator for the job. Different estimators are better suited for different types of data and different problem...
    scikit-learn.org/stable/machine_learning_map.html
    Mon Nov 03 14:20:03 UTC 2025
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  9. permutation_test_score — scikit-learn 1.7.2 doc...

    Gallery examples: Test with permutations the significance of a classification score
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.permutation_test_score.html
    Mon Nov 03 14:20:03 UTC 2025
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  10. fetch_olivetti_faces — scikit-learn 1.7.2 docum...

    Gallery examples: Online learning of a dictionary of parts of faces Faces dataset decompositions Face completion with a multi-output estimators
    scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_olivetti_faces.html
    Mon Nov 03 14:20:03 UTC 2025
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