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From "Sean Owen (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-8555) Online Variational Inference for the Hierarchical Dirichlet Process
Date Thu, 07 Jan 2016 11:21:39 GMT

     [ https://issues.apache.org/jira/browse/SPARK-8555?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Sean Owen resolved SPARK-8555.
------------------------------
    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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