Traceback (most recent call last):
File "test.py", line 23, in <module>
support=[support, support2, support3]
File "/home/tim/git/jack/jack/core/reader.py", line 84, in __call__
batch = self.input_module(inputs)
File "/home/tim/git/jack/jack/core/input_module.py", line 185, in __call__
annotations = self.preprocess(qa_settings, answers=None, is_eval=True)
File "/home/tim/git/jack/jack/readers/extractive_qa/shared.py", line 133, in preprocess
preprocessed.append(self.preprocess_instance(q, a))
File "/home/tim/git/jack/jack/readers/extractive_qa/shared.py", line 150, in preprocess_instance
scores = sort_by_tfidf(' '.join(q_tokenized), [' '.join(s) for s in s_tokenized])
File "/home/tim/git/jack/jack/util/preprocessing.py", line 188, in sort_by_tfidf
tfidf = TfidfVectorizer(strip_accents="unicode", stop_words=spacy.en.STOP_WORDS, decode_error='replace')
AttributeError: module 'spacy' has no attribute 'en'
See the bug here: explosion/spaCy#1512
I tried to change it to
space.lang.en.STOP_WORDSbut that did not work either.