DjangoPeng / DjangoPeng/word2vec
Updating global variables without locking
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Priority-Medium
Type-Defect
- Dominant language
- C
- Stars
- 3
- Forks
- 5
- PR merge metrics
- No merged PRs in 30d
Description
```
Some of the global variables are updated in the function TrainModelThread
without the use of locking. Here is one of them:
word_count_actual += word_count - last_word_count;
Can someone please explain how this works.
Also, can someone please help me with the following question:
For negative sampling, why do we need a unigram table to choose the negative
samples from? Why can't we just choose random words from the vocabulary?
Sincerely,
Vishal
```
Original issue reported on code.google.com by `vahu...@gmail.com` on 21 Jul 2015 at 6:26
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