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Train using an asymmetric prior?

Open artichox opened this issue 7 years ago • 3 comments

My corpus has an asymmetric document-topic distribution. Gensim's Lda model allows you to specify alpha as either 'asymmetric', 'auto' (which derives alpha from the data), or as an array of your choice. Is there a way to specify an asymmetric alpha with GuidedLda?

Very helpful library by the way. Thanks for making this available!

artichox avatar Feb 13 '18 22:02 artichox

Hey Lucy,

The model currently supports only a symmetric prior. I know how useful an asymmetric prior can be, sorry it's not there as of now :(

Vikash

vi3k6i5 avatar Jun 27 '18 07:06 vi3k6i5

Hey Lucy,

The model currently supports only a symmetric prior. I know how useful an asymmetric prior can be, sorry it's not there as of now :(

Vikash

hi vikash!

thank you very much for your efforts and time invested in GuidedLDA. Is GuidedLDA still in development or did you stop developing it?

Greetings

shassanin avatar May 23 '19 12:05 shassanin

Hi,

No this is not under development anymore.

Regards, Vikash

On Thu, May 23, 2019 at 5:48 PM Salah Hassanin [email protected] wrote:

Hey Lucy,

The model currently supports only a symmetric prior. I know how useful an asymmetric prior can be, sorry it's not there as of now :(

Vikash

hi vikash!

thank you very much for your efforts and time invested in GuidedLDA. Is GuidedLDA still in development or did you stop developing it?

Greetings

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Vikash

vi3k6i5 avatar May 23 '19 12:05 vi3k6i5