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From "ding (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-5556) Latent Dirichlet Allocation (LDA) using Gibbs sampler
Date Fri, 14 Aug 2015 08:07:45 GMT

    [ https://issues.apache.org/jira/browse/SPARK-5556?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14696677#comment-14696677
] 

ding commented on SPARK-5556:
-----------------------------

The code can be found https://github.com/intel-analytics/TopicModeling. 

There is an example in the package, you can try gibbs sampling lda or online lda by setting
--optimizer as "gibbs" or "online"


> 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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