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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2016/01/07 12:21:39 UTC
[jira] [Resolved] (SPARK-8555) Online Variational Inference for the
Hierarchical Dirichlet Process
[ https://issues.apache.org/jira/browse/SPARK-8555?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-8555.
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Resolution: Won't Fix
For now, I think we should assume this should be implemented outside Spark first and provided as a package, given lack of traction.
> Online Variational Inference for the Hierarchical Dirichlet Process
> -------------------------------------------------------------------
>
> Key: SPARK-8555
> URL: https://issues.apache.org/jira/browse/SPARK-8555
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: yuhao yang
> Priority: Minor
>
> The task is created for exploration on the online HDP algorithm described in
> http://jmlr.csail.mit.edu/proceedings/papers/v15/wang11a/wang11a.pdf.
> Major advantage for the algorithm: one pass on corpus, streaming friendly, automatic K (topic number).
> Currently the scope is to support online HDP for topic modeling, i.e. probably an optimizer for LDA.
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