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https://issues.apache.org/jira/browse/SPARK-14084?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15882123#comment-15882123
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Nick Pentreath commented on SPARK-14084:
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I guess we could have put SPARK-19071 into this ticket (sorry about that) - but
since SPARK-19071 also covers a longer-term plan for further optimizing
parallel CV, I'm going to close this as Superceded By. If watchers are still
interested, please watch SPARK-19071. Thanks!
> Parallel training jobs in model selection
> -----------------------------------------
>
> Key: SPARK-14084
> URL: https://issues.apache.org/jira/browse/SPARK-14084
> Project: Spark
> Issue Type: New Feature
> Components: ML
> Affects Versions: 2.0.0
> Reporter: Xiangrui Meng
>
> In CrossValidator and TrainValidationSplit, we run training jobs one by one.
> If users have a big cluster, they might see speed-ups if we parallelize the
> job submission on the driver. The trade-off is that we might need to make
> multiple copies of the training data, which could be expensive. It is worth
> testing and figure out the best way to implement it.
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