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Posted to issues@spark.apache.org by "Sue Ann Hong (JIRA)" <ji...@apache.org> on 2017/01/05 23:55:58 UTC
[jira] [Commented] (SPARK-18630) PySpark ML memory leak
[ https://issues.apache.org/jira/browse/SPARK-18630?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15802922#comment-15802922 ]
Sue Ann Hong commented on SPARK-18630:
--------------------------------------
will take a look at this
> PySpark ML memory leak
> ----------------------
>
> Key: SPARK-18630
> URL: https://issues.apache.org/jira/browse/SPARK-18630
> Project: Spark
> Issue Type: Bug
> Components: ML, PySpark
> Reporter: holdenk
> Priority: Minor
>
> After SPARK-18274 is fixed by https://github.com/apache/spark/pull/15843, it would be good to follow up and address the potential memory leak for all items handled by the `JavaWrapper`, not just `JavaParams`.
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