DjangoPeng / DjangoPeng/word2vec

Updating global variables without locking

Open
#35 0 comments 0 reactions 0 assignees View on GitHub
auto-migrated 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

Contributor guide

No contributing guide indexed for this repository

Assessment

This issue has not been assessed yet.

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.