Merge pull request scikit-learn#7213 from zhengruifeng/doc_fix

Fix scikit-learn#7212  Sync Document for GaussianNB

Author: GaelVaroquaux

doc/modules/naive_bayes.rst

@@ -187,8 +187,8 @@ for which the full training set might not fit in memory. To handle this case,
 :class:`MultinomialNB`, :class:`BernoulliNB`, and :class:`GaussianNB`
 expose a ``partial_fit`` method that can be used
 incrementally as done with other classifiers as demonstrated in
-:ref:`sphx_glr_auto_examples_applications_plot_out_of_core_classification.py`. Both discrete
-classifiers support sample weighting; :class:`GaussianNB` does not.
+:ref:`sphx_glr_auto_examples_applications_plot_out_of_core_classification.py`. All naive Bayes
+classifiers support sample weighting.
 
 Contrary to the ``fit`` method, the first call to ``partial_fit`` needs to be
 passed the list of all the expected class labels.