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File "D:/Sentiment/datasets/DL_test_small.py", line 157, in evaluate
for doc in nlp.pipe(texts, batch_size=1000, n_threads=4):
File "C:\Python36\lib\site-packages\spacy\language.py", line 558, in pipe
for name, proc in self.pipeline:
TypeError: 'Tagger' object is not iterable
Your Environment
Operating System: windows 10
Python Version Used: 3.6
spaCy Version Used: 2.0.11
Environment Information:
The text was updated successfully, but these errors were encountered:
Deep learning with keras:
File "D:/Sentiment/datasets/DL_test_small.py", line 157, in evaluate
for doc in nlp.pipe(texts, batch_size=1000, n_threads=4):
File "C:\Python36\lib\site-packages\spacy\language.py", line 558, in pipe
for name, proc in self.pipeline:
TypeError: 'Tagger' object is not iterable
Your Environment
The text was updated successfully, but these errors were encountered: