DOC Update random_state description for Multiclass (#16839)

DatenBiene · web-flow · commit 9358a6ee8f93 · 2020-04-15T14:51:04.000-04:00
diff --git a/sklearn/multiclass.py b/sklearn/multiclass.py
@@ -707,10 +707,9 @@ class OutputCodeClassifier(MetaEstimatorMixin, ClassifierMixin, BaseEstimator):
         than one-vs-the-rest.
 
     random_state : int, RandomState instance or None, optional, default: None
-        The generator used to initialize the codebook.  If int, random_state is
-        the seed used by the random number generator; If RandomState instance,
-        random_state is the random number generator; If None, the random number
-        generator is the RandomState instance used by `np.random`.
+        The generator used to initialize the codebook.
+        Pass an int for reproducible output across multiple function calls.
+        See :term:`Glossary <random_state>`.
 
     n_jobs : int or None, optional (default=None)
         The number of jobs to use for the computation.
