DjangoPeng / DjangoPeng/word2vec
Cluster output malformed
Open
auto-migrated
Priority-Medium
Type-Defect
- Dominant language
- C
- Stars
- 3
- Forks
- 5
- PR merge metrics
- No merged PRs in 30d
Description
```
What steps will reproduce the problem?
1. Train on data with tokens that are numbers "12345" , "321" ...
2. Select cluster output ( -classes option)
What is the expected output?
The expected cluster output is:
,
ex:
quick, 44
357, 45
Instead, what you see is:
quick, 44
357 45,
What version of the product are you using? On what operating system?
0.1b on OSX 10.10.2
Please provide any additional information below.
it is currently 47oF and overcast outside
```
Original issue reported on code.google.com by `craig.pf...@gmail.com` on 8 Feb 2015 at 7:25
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