DOC Specify behaviour of None for TfIdfVectorizer max_features parameter (#25676)

yusufraji · glemaitre · web-flow · commit d5df806c9715 · 2023-02-24T11:20:05.000+01:00
Co-authored-by: Guillaume Lemaitre &lt;g.lemaitre58@gmail.com&gt;
diff --git a/sklearn/feature_extraction/text.py b/sklearn/feature_extraction/text.py
@@ -1874,7 +1874,8 @@ class TfidfVectorizer(CountVectorizer):
 
     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.
 
