Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/1110#issuecomment-47686100
@dbtsai Thanks for testing it! I'm going to move `treeReduce` and
`treeAggregate` to `mllib.rdd.RDDFunctions`. For normal data processing, people
generally use more partitions than number of cores. In those cases, the driver
can collect task result while other tasks are running. This is not the optimal
case for machine learning algorithms. So I think we can keep `treeReduce` and
`treeAggregate` in mllib for now.
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