ERROR :Your stop_words may be inconsistent with your preprocessing

[abin-m]

#import required library
from sklearn.feature_extraction.text import CountVectorizer

#create object supplying our custom stop words
count_vector = CountVectorizer(stop_words=stop_words)
#fitting it to converts comments into bag of words format
tf = count_vector.fit_transform(comments).toarray()

while running the above snippet getting an error

/usr/local/lib/python3.7/dist-packages/sklearn/feature_extraction/text.py:401: UserWarning: Your stop_words may be inconsistent with your preprocessing. Tokenizing the stop words generated tokens ['aren', 'can', 'couldn', 'didn', 'doesn', 'don', 'hadn', 'hasn', 'haven', 'isn', 'let', 'll', 'mustn', 're', 'shan', 'shouldn', 've', 'wasn', 'weren', 'won', 'wouldn'] not in stop_words.
% sorted(inconsistent)