DOC TfidfVectorizer, CountVectorizer fixed_vocabulary_ documentation
@@ -825,6 +825,10 @@ class CountVectorizer(BaseEstimator, VectorizerMixin):
vocabulary_ : dict
A mapping of terms to feature indices.
+ fixed_vocabulary_: boolean
+ True if a fixed vocabulary of term to indices mapping
+ is provided by the user
+
stop_words_ : set
Terms that were ignored because they either:
@@ -1497,6 +1501,10 @@ class TfidfVectorizer(CountVectorizer):
vocabulary_ : dict
A mapping of terms to feature indices.
+ fixed_vocabulary_: boolean
+ True if a fixed vocabulary of term to indices mapping
+ is provided by the user
+
idf_ : array, shape (n_features)
The inverse document frequency (IDF) vector; only defined
if ``use_idf`` is True.
