Hi, Deb.
Thanks for your idea to use ALS for PLSA training. I discussed it with our
engineers and it seems it's better to use EM. We have the following points:
1. We have some doubts that ALS is applicable to the problem. By its
definition, PLSA is a matrix decomposition with respect to Kul
Hi, Deb.
>
> I don't quite understand the question. PLSA is an instance of matrix
> factorization problem.
>
> If you are asking about inference algorithm, we use EM-algorithm.
> Description of this approach is, for example, here:
> http://www.machinelearning.ru/wiki/imag
Hi, Deb.
I don't quite understand the question. PLSA is an instance of matrix
factorization problem.
If you are asking about inference algorithm, we use EM-algorithm.
Description of this approach is, for example, here:
http://www.machinelearning.ru/wiki/images/1/1f/Voron14aist.pdf
Best,
Hi Denis,
Are you using matrix factorization to generate the latent factors ?
Thanks.
Deb
On Thu, Jul 3, 2014 at 8:49 AM, Denis Turdakov wrote:
> Hello guys,
>
> We made pull request with PLSA and its modifications:
> - https://github.com/apache/spark/pull/1269
> - JIRA i
Hello guys,
We made pull request with PLSA and its modifications:
- https://github.com/apache/spark/pull/1269
- JIRA issue SPARK-2199
Could somebody look at the code and provide some feedback what we should
improve.
Best regards,
Denis Turdakov
--
View this message in context:
http://apache
