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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2019/10/08 05:42:14 UTC

[jira] [Resolved] (SPARK-22114) The condition of OnlineLDAOptimizer convergence should be configurable

     [ https://issues.apache.org/jira/browse/SPARK-22114?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-22114.
----------------------------------
    Resolution: Incomplete

> The condition of OnlineLDAOptimizer convergence should be configurable  
> ------------------------------------------------------------------------
>
>                 Key: SPARK-22114
>                 URL: https://issues.apache.org/jira/browse/SPARK-22114
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML, MLlib
>    Affects Versions: 2.3.0
>            Reporter: Peng Meng
>            Priority: Minor
>              Labels: bulk-closed
>
> The current convergence of OnlineLDAOptimizer is:
> {code:java}
> while(meanGammaChange > 1e-3)
> {code}
> The condition of this is critical for the performance and accuracy of LDA. 
> We should keep this configurable, like it is in Vowpal Vabbit: 
> https://github.com/JohnLangford/vowpal_wabbit/blob/430f69453bc4876a39351fba1f18771bdbdb7122/vowpalwabbit/lda_core.cc :638



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