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From "Sean Owen (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-3918) Forget Unpersist in RandomForest.scala(train Method)
Date Thu, 11 Dec 2014 17:03:13 GMT

     [ https://issues.apache.org/jira/browse/SPARK-3918?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Sean Owen resolved SPARK-3918.
------------------------------
    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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