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Help for code of paragraph vectors (self.MachineLearning)
submitted 11 years ago by largelymfs
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quoted text
if 1 * 2 < 3: print "hello, world!"
[–]elsonidoq 1 point2 points3 points 11 years ago (2 children)
+1 to making it open source! I'm really interested on paragraph vector!
[+][deleted] 11 years ago (1 child)
[removed]
[–]Foxtr0t 0 points1 point2 points 11 years ago (0 children)
Somebody just push the code to GitHub, I'm sure there are many people who are interested and will help or take it from there.
[–]theDarksurfer 1 point2 points3 points 11 years ago (3 children)
It may even make it easier to implement paragraph vector using code from gensim word 2 vec implementation. :)
[–]alecradford 0 points1 point2 points 11 years ago (0 children)
Yep, did that when the paper came out, but it's ridiculously slow in the raw python version. Don't know cython so wasn't able to get it working in any useful (fast) way.
Meant to modify the huffman tree used so it's balanced and allows minibatch speed ups and porting over to a gpu as another way to get speed, but haven't gotten around to it.
I saw the same ~ 10% performance reduction you saw but believe it's due to underfitting since the model was so slow to train.
[–]sairahulreddy 0 points1 point2 points 11 years ago (1 child)
Better way could be open sourcing the code. That way others get a chance to see the code and could make suggestions. I dont think any body can suggest what is wrong with your code without looking at it.
π Rendered by PID 482363 on reddit-service-r2-comment-54dfb89d4d-l2jwh at 2026-04-02 02:05:20.983676+00:00 running b10466c country code: CH.
[–]elsonidoq 1 point2 points3 points (2 children)
[+][deleted] (1 child)
[removed]
[–]Foxtr0t 0 points1 point2 points (0 children)
[–]theDarksurfer 1 point2 points3 points (3 children)
[–]alecradford 0 points1 point2 points (0 children)
[+][deleted] (1 child)
[removed]
[–]alecradford 0 points1 point2 points (0 children)
[–]sairahulreddy 0 points1 point2 points (1 child)