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DOC: Link Examples for SVR, NuSVR, and SVM User Guide #30201

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4 changes: 4 additions & 0 deletions sklearn/svm/_classes.py
Original file line number Diff line number Diff line change
Expand Up @@ -1163,6 +1163,8 @@ class SVR(RegressorMixin, BaseLibSVM):
Specifies the kernel type to be used in the algorithm.
If none is given, 'rbf' will be used. If a callable is given it is
used to precompute the kernel matrix.
For an intuitive visualization of different kernel types
see :ref:`sphx_glr_auto_examples_svm_plot_svm_regression.py`

degree : int, default=3
Degree of the polynomial kernel function ('poly').
Expand Down Expand Up @@ -1361,6 +1363,8 @@ class NuSVR(RegressorMixin, BaseLibSVM):
Specifies the kernel type to be used in the algorithm.
If none is given, 'rbf' will be used. If a callable is given it is
used to precompute the kernel matrix.
For an intuitive visualization of different kernel types see
See :ref:`sphx_glr_auto_examples_svm_plot_svm_regression.py`

degree : int, default=3
Degree of the polynomial kernel function ('poly').
Expand Down