Include LinearSV{C, R} in models that support sample_weights

With the latest release of sklearn, we have merged scikit-learn#15038
which officially adds support for sample weights to these models. Let's update the docs to reflect this.

doc/modules/svm.rst

@@ -267,10 +267,11 @@ that sets the parameter ``C`` of class ``class_label`` to ``C * value``.
    :scale: 75
 
 
-:class:`SVC`, :class:`NuSVC`, :class:`SVR`, :class:`NuSVR` and
-:class:`OneClassSVM` implement also weights for individual samples in method
-``fit`` through keyword ``sample_weight``. Similar to ``class_weight``, these
-set the parameter ``C`` for the i-th example to ``C * sample_weight[i]``.
+:class:`SVC`, :class:`NuSVC`, :class:`SVR`, :class:`NuSVR`, :class:`LinearSVC`,
+:class:`LinearSVR` and :class:`OneClassSVM` implement also weights for
+individual samples in method ``fit`` through keyword ``sample_weight``. Similar
+to ``class_weight``, these set the parameter ``C`` for the i-th example to
+``C * sample_weight[i]``.
 
 
 .. figure:: ../auto_examples/svm/images/sphx_glr_plot_weighted_samples_001.png