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From "Feynman Liang (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-8536) Generalize LDA to asymmetric priors
Date Tue, 07 Jul 2015 23:10:04 GMT

    [ https://issues.apache.org/jira/browse/SPARK-8536?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14617616#comment-14617616
] 

Feynman Liang commented on SPARK-8536:
--------------------------------------

(Rethinking LDA: Why Priors Matter, Wallach 09, http://dirichlet.net/pdf/wallach09rethinking.pdf)
suggests that asymmetric priors is only useful for the document-topic distribution.

> Generalize LDA to asymmetric priors
> -----------------------------------
>
>                 Key: SPARK-8536
>                 URL: https://issues.apache.org/jira/browse/SPARK-8536
>             Project: Spark
>          Issue Type: Improvement
>          Components: MLlib
>            Reporter: Joseph K. Bradley
>   Original Estimate: 216h
>  Remaining Estimate: 216h
>
> Several users have requested LDA using asymmetric priors, including learning those hyperparameters.
 We should add this functionality.
> Note that it could be added to EM, online LDA, or both.  I suggest adding it to online
LDA initially, followed by EM in a separate PR.



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