Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/5351#issuecomment-90166884
What kind of problem size and algorithm parameters were you testing? I'm
wondering if I can reproduce the issue on my end.
Also, were you using the "useNodeIdCache" parameter? That would create
additional RDDs for tracking training instances' locations in the tree. If you
were using that, it would likely be important to use checkpointing as well.
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