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https://issues.apache.org/jira/browse/SPARK-5804?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14320607#comment-14320607
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Apache Spark commented on SPARK-5804:
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User 'petro-rudenko' has created a pull request for this issue:
https://github.com/apache/spark/pull/4595
> Explicitly manage cache in Crossvalidation k-fold loop
> ------------------------------------------------------
>
> Key: SPARK-5804
> URL: https://issues.apache.org/jira/browse/SPARK-5804
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Affects Versions: 1.3.0
> Reporter: Peter Rudenko
> Priority: Minor
>
> On a big dataset explicitly unpersist train and validation folds allows to
> load more data into memory in the next loop iteration. On my environment
> (single node 8Gb worker RAM, 2 GB dataset file, 3 folds for cross
> validation), saved more than 5 minutes.
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