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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2017/10/19 07:40:02 UTC
[jira] [Resolved] (SPARK-14371) OnlineLDAOptimizer should not
collect stats for each doc in mini-batch to driver
[ https://issues.apache.org/jira/browse/SPARK-14371?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Joseph K. Bradley resolved SPARK-14371.
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Resolution: Fixed
Fix Version/s: 2.3.0
> OnlineLDAOptimizer should not collect stats for each doc in mini-batch to driver
> --------------------------------------------------------------------------------
>
> Key: SPARK-14371
> URL: https://issues.apache.org/jira/browse/SPARK-14371
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Reporter: Joseph K. Bradley
> Assignee: Valeriy Avanesov
> Fix For: 2.3.0
>
>
> See this line: https://github.com/apache/spark/blob/5743c6476dbef50852b7f9873112a2d299966ebd/mllib/src/main/scala/org/apache/spark/mllib/clustering/LDAOptimizer.scala#L437
> The second element in each row of "stats" is a list with one Vector for each document in the mini-batch. Those are collected to the driver in this line:
> https://github.com/apache/spark/blob/5743c6476dbef50852b7f9873112a2d299966ebd/mllib/src/main/scala/org/apache/spark/mllib/clustering/LDAOptimizer.scala#L456
> We should not collect those to the driver. Rather, we should do the necessary maps and aggregations in a distributed manner. This will involve modify the Dirichlet expectation implementation. (This JIRA should be done by someone knowledge about online LDA and Spark.)
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