DOC include kernel_approx ref in svm
@@ -559,7 +559,8 @@ class SVC(BaseSVC):
beyond tens of thousands of samples. For large datasets
consider using :class:`~sklearn.svm.LinearSVC` or
:class:`~sklearn.linear_model.SGDClassifier` instead, possibly after a
- :class:`~sklearn.kernel_approximation.Nystroem` transformer.
+ :class:`~sklearn.kernel_approximation.Nystroem` transformer or
+ other :ref:`kernel_approximation`.
The multiclass support is handled according to a one-vs-one scheme.
@@ -1110,7 +1111,8 @@ class SVR(RegressorMixin, BaseLibSVM):
to scale to datasets with more than a couple of 10000 samples. For large
datasets consider using :class:`~sklearn.svm.LinearSVR` or
:class:`~sklearn.linear_model.SGDRegressor` instead, possibly after a
- :class:`~sklearn.kernel_approximation.Nystroem` transformer.
+ :class:`~sklearn.kernel_approximation.Nystroem` transformer or
+ other :ref:`kernel_approximation`.
Read more in the :ref:`User Guide <svm_regression>`.
