* Improved explanation of SVM-RBF behavior The previous explanation of the results contained an incorrect interpretation. The description is updated as discussed here: https://github.com/scikit-learn/scikit-learn/issues/18532 * Making linter happy * Update examples/svm/plot_rbf_parameters.py Co-authored-by: Nicolas Hug <contact@nicolas-hug.com> * Update examples/svm/plot_rbf_parameters.py Co-authored-by: Nicolas Hug <contact@nicolas-hug.com> * making linter happy * whitespace Co-authored-by: Nicolas Hug <contact@nicolas-hug.com> |
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| .. | ||
| README.txt | ||
| plot_custom_kernel.py | ||
| plot_iris_svc.py | ||
| plot_linearsvc_support_vectors.py | ||
| plot_oneclass.py | ||
| plot_rbf_parameters.py | ||
| plot_separating_hyperplane.py | ||
| plot_separating_hyperplane_unbalanced.py | ||
| plot_svm_anova.py | ||
| plot_svm_kernels.py | ||
| plot_svm_margin.py | ||
| plot_svm_nonlinear.py | ||
| plot_svm_regression.py | ||
| plot_svm_scale_c.py | ||
| plot_svm_tie_breaking.py | ||
| plot_weighted_samples.py | ||
README.txt
.. _svm_examples: Support Vector Machines ----------------------- Examples concerning the :mod:`sklearn.svm` module.