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https://issues.apache.org/jira/browse/SPARK-3918?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-3918.
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Resolution: Fixed
Great, looks like this was in fact fixed for 1.2 then.
> Forget Unpersist in RandomForest.scala(train Method)
> ----------------------------------------------------
>
> Key: SPARK-3918
> URL: https://issues.apache.org/jira/browse/SPARK-3918
> Project: Spark
> Issue Type: Bug
> Components: MLlib
> Affects Versions: 1.1.0
> Environment: All
> Reporter: junlong
> Assignee: Joseph K. Bradley
> Labels: decisiontree, train, unpersist
> Fix For: 1.2.0
>
> Original Estimate: 10m
> Remaining Estimate: 10m
>
> In version 1.1.0 DecisionTree.scala, train Method, treeInput has been
> persisted in Memory, but without unpersist. It caused heavy DISK usage.
> In github version(1.2.0 maybe), RandomForest.scala, train Method,
> baggedInput has been persisted but without unpersisted too.
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