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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