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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.
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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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