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https://issues.apache.org/jira/browse/SPARK-5556?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14308619#comment-14308619
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Pedro Rodriguez commented on SPARK-5556:
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I will read that paper, seems interesting. Probably worth discussing at some
point, how is the philosophy behind supporting different algorithms? It seems
like there are a good number (at least 2 Gibbs, 1 EM right now). On the same
line of thought, perhaps it would be better to open two pull requests, one
which refactors the current LDA to allow multiple algorithms, and a second for
the Gibbs itself? Thoughts?
> Latent Dirichlet Allocation (LDA) using Gibbs sampler
> ------------------------------------------------------
>
> Key: SPARK-5556
> URL: https://issues.apache.org/jira/browse/SPARK-5556
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: Guoqiang Li
>
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