[jira] [Commented] (SPARK-8555) Online Variational Inference for the Hierarchical Dirichlet Process

["Tu Dinh Nguyen (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-8555?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15075909#comment-15075909 ] 

Tu Dinh Nguyen commented on SPARK-8555:
---------------------------------------

Hi,

I'm Tu from Deakin University. Our team is currently working intensively to develop this model on Spark.
We also would like to integrate into the MLLib. Could anyone please tell me what the workflow looks like?

Your help is much appreciated!


> 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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