carpedm20 / carpedm20/word2vec-tensorflow
TypeError: unorderable types: str() > int()
- Dominant language
- Python
- Stars
- 45
- Forks
- 24
- PR merge metrics
- No merged PRs in 30d
Description
Traceback (most recent call last):
File "model.py", line 31, in
w2v.build_vocab(config['corpus'])
File "/home/shark_s/avishkar/deep /example1/Word2Vec.py", line 32, in build_vocab
self.counter.extend([list(item) for item in Counter(words).most_common()
File "/home/shark_s/avishkar/deep /example1/Word2Vec.py", line 33, in
if item[0] > self.min_frequency])
TypeError: unorderable types: str() > int()
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by reproducing the traceback from model.py line 31, then inspect the comparison in Word2Vec.py lines 32-33 within build_vocab. Confirm what values are compared there and verify that the vocabulary-building run completes without the reported TypeError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100