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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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Sean Owen updated SPARK-8936:
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Target Version/s: (was: 1.5.0)
Component/s: ML
> 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
>
> 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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