DOC Specify behavior of None for CountVectorizer (#25678)

alielkassas · jeremiedbb · commit de45c31aff20 · 2023-03-08T17:21:14.000+01:00
diff --git a/sklearn/feature_extraction/text.py b/sklearn/feature_extraction/text.py
@@ -1051,7 +1051,8 @@ class CountVectorizer(_VectorizerMixin, BaseEstimator):
 
     max_features : int, default=None
         If not None, build a vocabulary that only consider the top
-        max_features ordered by term frequency across the corpus.
+        `max_features` ordered by term frequency across the corpus.
+        Otherwise, all features are used.
 
         This parameter is ignored if vocabulary is not None.
 
