[jira] [Resolved] (SPARK-8536) Generalize LDA to asymmetric doc-topic priors

["Joseph K. Bradley (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-8536?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joseph K. Bradley resolved SPARK-8536.
--------------------------------------
       Resolution: Fixed
    Fix Version/s: 1.5.0

Issue resolved by pull request 7575
[https://github.com/apache/spark/pull/7575]

> Generalize LDA to asymmetric doc-topic priors
> ---------------------------------------------
>
>                 Key: SPARK-8536
>                 URL: https://issues.apache.org/jira/browse/SPARK-8536
>             Project: Spark
>          Issue Type: Improvement
>          Components: MLlib
>            Reporter: Joseph K. Bradley
>            Assignee: Feynman Liang
>             Fix For: 1.5.0
>
>   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.
> This JIRA is now limited to the document-topic prior (docConcentration).  See linked JIRA for topicConcentration, which is lower priority.



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