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https://issues.apache.org/jira/browse/SPARK-8936?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley resolved SPARK-8936.
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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.
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