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https://issues.apache.org/jira/browse/SPARK-5556?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14518601#comment-14518601
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Pedro Rodriguez commented on SPARK-5556:
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[~gq] is the LDAGibbs line what I implemented or something else? In any case,
the optimization on sampling shouldn't change the results, so it looks like
LightLDA converges to a better perplexity.
Do you have any performance graphs?
> 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
> Assignee: Pedro Rodriguez
> Attachments: LDA_test.xlsx
>
>
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