DOC Clarify use_idf in TfidfTransformer/TfidfVectorizer docstrings (#21213)

hongshaoyang · glemaitre · commit 3637013ced3f · 2021-10-25T11:37:00.000+02:00
diff --git a/sklearn/feature_extraction/text.py b/sklearn/feature_extraction/text.py
@@ -1504,7 +1504,7 @@ class TfidfTransformer(_OneToOneFeatureMixin, TransformerMixin, BaseEstimator):
           See :func:`preprocessing.normalize`.
 
     use_idf : bool, default=True
-        Enable inverse-document-frequency reweighting.
+        Enable inverse-document-frequency reweighting. If False, idf(t) = 1.
 
     smooth_idf : bool, default=True
         Smooth idf weights by adding one to document frequencies, as if an
@@ -1842,7 +1842,7 @@ class TfidfVectorizer(CountVectorizer):
           See :func:`preprocessing.normalize`.
 
     use_idf : bool, default=True
-        Enable inverse-document-frequency reweighting.
+        Enable inverse-document-frequency reweighting. If False, idf(t) = 1.
 
     smooth_idf : bool, default=True
         Smooth idf weights by adding one to document frequencies, as if an
