Github user hollinwilkins commented on the issue: https://github.com/apache/spark/pull/14872 Hey, would definitely like to see this included in Spark. We are having issues with OOM errors training pretty small RFs. It could have something to do with the cross validation implementation as well, as it stores all of the models in memory at once.
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