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  1. install.rst.txt

    for instance:: C:\Users\username>C:\Users\username\AppD...packages in the environment python -c "import sklearn; sklearn.show_versions()"...
    scikit-learn.org/stable/_sources/install.rst.txt
    Thu Feb 20 15:57:35 UTC 2025
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  2. 7.3. Generated datasets — scikit-learn 1.6.1 do...

    c = y ) plt . title ( "Three normally-distributed...scatter ( X [:, 0 ], X [:, 1 ], c = Y ) axs [ i ] . set_title (...
    scikit-learn.org/stable/datasets/sample_generators.html
    Thu Feb 20 15:57:35 UTC 2025
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  3. bootstrap.js

    F="y"===C?n:r,H="y"===C?s:o,W="y"===C?"height":"width",z=x[C],R=...;x[C]=ht,M[C]=ht-z}if(u){var dt,ut="x"===C?n:r,ft="x"===C?s:...
    scikit-learn.org/stable/_static/scripts/bootstrap.js
    Thu Feb 20 15:57:36 UTC 2025
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  4. plot_classifier_comparison.zip

    C=0.025, random_state=42), SVC(gamma=2, C=1, random_state=42),...SVC(kernel=\"linear\", C=0.025, random_state=42),\n SVC(gamma=2, C=1, random_state=42),\n...
    scikit-learn.org/stable/_downloads/ce35bcc69acbd491cf7ac77fa17889d5/plot_classifier_comparison.zip
    Tue Feb 18 23:43:27 UTC 2025
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  5. plot_classifier_comparison.py

    C=0.025, random_state=42), SVC(gamma=2, C=1, random_state=42),...ax.scatter(X_train[:, 0], X_train[:, 1], c=y_train, cmap=cm_bright, edgecolors="k")...
    scikit-learn.org/stable/_downloads/2da0534ab0e0c8241033bcc2d912e419/plot_classifier_comparison.py
    Tue Feb 18 23:43:24 UTC 2025
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  6. NuSVR — scikit-learn 1.6.1 documentation

    C float, default=1.0 Penalty parameter C of the error...sklearn.svm. NuSVR ( * , nu = 0.5 , C = 1.0 , kernel = 'rbf' , degree...
    scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVR.html
    Thu Feb 20 15:57:35 UTC 2025
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  7. plot_classifier_comparison.ipynb

    C=0.025, random_state=42),\n SVC(gamma=2, C=1, random_state=42),\n...ax.scatter(X_train[:, 0], X_train[:, 1], c=y_train, cmap=cm_bright, edgecolors=\"k\")\n...
    scikit-learn.org/stable/_downloads/3438aba177365cb595921cf18806dfa7/plot_classifier_comparison.ipynb
    Tue Feb 18 23:43:25 UTC 2025
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  8. 2.3. Clustering — scikit-learn 1.6.1 documentation

    \sum_{q=1}^k n_q (c_q - c_E) (c_q - c_E)^T\] with \(C_q\) the set of...\[\begin{split}C = \left[\begin{matrix} C_{00} & C_{01} \\ C_{10} & C_{11}...
    scikit-learn.org/stable/modules/clustering.html
    Thu Feb 20 15:57:35 UTC 2025
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  9. pydata-sphinx-theme.js

    i=c(n,o);return 0!==i?i:a&&s?c(a.split("."),s.... i=o&&e.preferred,c=!o&&!r&&e.match;(i||c)&&(a.classList.add...
    scikit-learn.org/stable/_static/scripts/pydata-sphinx-theme.js
    Thu Feb 20 15:57:35 UTC 2025
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  10. SVR — scikit-learn 1.6.1 documentation

    C = 1.0 , epsilon = 0.1 , shrinking...free parameters in the model are C and epsilon. The implementation...
    scikit-learn.org/stable/modules/generated/sklearn.svm.SVR.html
    Thu Feb 20 15:57:35 UTC 2025
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