How can I transform a new document using an already trained model?

[JennieGerhardt]

with open('model{}.pickle'.format(best_topic), 'rb') as f:
    best_model = pkl.load(f)

user_vec = btm.get_vectorized_docs(user_texts, vocabulary) # len(user_texts) = 400
user_td = best_model.transform(user_vec) # _**However, len(user_td) = 245081 （Length of the training corpus）**_
user_topic = pd.DataFrame()
user_topic['portrait'] = user['portrait'] # len(user_topic['portrait'])  = 400
user_topic['topic'] = list(user_td) # ERROR   245081 != 400

[maximtrp]

Thank you for this report! This section was not thoroughly tested. The shape of the output matrix was not correct indeed. I have already released the new version that hopefully fixes it.