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https://issues.apache.org/jira/browse/SPARK-5556?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14518618#comment-14518618
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Guoqiang Li commented on SPARK-5556:
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LDA_Gibbs combines the advantages of AliasLDA, FastLDA and SparseLDA algorithm.
The corresponding code is https://github.com/witgo/spark/tree/lda_Gibbs or
https://github.com/witgo/zen/blob/master/ml/src/main/scala/com/github/cloudml/zen/ml/clustering/LDA.scala#L553.
Yes LightLDA converge faster,but it takes up more memory
> 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, spark-summit.pptx
>
>
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