This sounds very interesting !

Plus it seems you already embraced sklearn's API in this module.


2013/10/31 chyi-kwei yau <chyikwei....@gmail.com>

> Hi guys,
>
> Recently I am trying to combine LDA(Latent Dirichlet Allocation) with some
> clustering methods.
> So I modified Matt Hoffman's onlineLDA to sklearn's format and use it with
> other sklearn modules.
> (I changed the input format to sparse matrix and speed up the e-step with
> multiprocessing.)
>
> I think it can be convenient to have some topic models in the package, but
> I also find my work is very similar to gensim's LDA implementation.
> So I want to ask how you guys think before I send a PR.
> Any suggestions would be appreciated.
>
> And if anyone is interested, my code is here: (It is pure python now. I am
> trying to optimize it with cython.)
> https://github.com/chyikwei/topicModels/blob/master/LDA/lda.py
> example:
> https://github.com/chyikwei/topicModels/blob/master/LDA/lda_example.py
>
>
> Thanks,
> Chyi-Kwei
>
>
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