You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "holdenk (JIRA)" <ji...@apache.org> on 2016/11/29 18:58:59 UTC
[jira] [Created] (SPARK-18630) PySpark ML memory leak
holdenk created SPARK-18630:
-------------------------------
Summary: 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`.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org