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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/07/19 09:09:08 UTC

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

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

Apache Spark reassigned SPARK-8936:
-----------------------------------

    Assignee: Apache Spark

> 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: Apache Spark
>
> 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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