[jira] [Resolved] (SPARK-8936) Hyperparameter estimation in LDA

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

     [ https://issues.apache.org/jira/browse/SPARK-8936?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joseph K. Bradley resolved SPARK-8936.
--------------------------------------
       Resolution: Fixed
    Fix Version/s: 1.5.0

Issue resolved by pull request 7836
[https://github.com/apache/spark/pull/7836]

> Hyperparameter estimation in LDA
> --------------------------------
>
>                 Key: SPARK-8936
>                 URL: https://issues.apache.org/jira/browse/SPARK-8936
>             Project: Spark
>          Issue Type: New Feature
>          Components: ML
>            Reporter: Feynman Liang
>            Assignee: Feynman Liang
>             Fix For: 1.5.0
>
>
> LDA currently supports inference of word distributions per topic ({{LDAModel.topicsMatrix}}) but no hyperparameter (e.g. document-topic Dirichlet parameter alpha, document-word Dirichlet parameter beta) point estimates are produced.
> Hyperparameter estimation in Online LDA has been described by Blei (https://www.cs.princeton.edu/~blei/papers/HoffmanBleiBach2010b.pdf, equation 9) and should be supported in Spark's implementation.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org