DOC add links to examples/linear_model/plot_elastic_net_precomputed_gram_matrix_with_weighted_samples.py

doc/modules/linear_model.rst

@@ -530,6 +530,7 @@ The class :class:`ElasticNetCV` can be used to set the parameters
 
   * :ref:`sphx_glr_auto_examples_linear_model_plot_lasso_and_elasticnet.py`
   * :ref:`sphx_glr_auto_examples_linear_model_plot_lasso_coordinate_descent_path.py`
+  * :ref:`sphx_glr_auto_examples_linear_model_plot_elastic_net_precomputed_gram_matrix_with_weighted_samples.py`
 
 |details-start|
 **References**

sklearn/linear_model/_coordinate_descent.py

@@ -859,6 +859,10 @@ class ElasticNet(MultiOutputMixin, RegressorMixin, LinearModel):
     If so, then additionally check whether the dual gap is smaller than `tol` times
     :math:`||y||_2^2 / n_{\text{samples}}`.
 
+    For an example, see
+    :ref:`examples/linear_model/plot_elastic_net_precomputed_gram_matrix_with_weighted_samples.py
+    <sphx_glr_auto_examples_linear_model_plot_elastic_net_precomputed_gram_matrix_with_weighted_samples.py>`.
+
     Examples
     --------
     >>> from sklearn.linear_model import ElasticNet