Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/4228#issuecomment-71783095
I don't have strong preference. But note that `treeReduce` and `reduce` are
quite different. `treeReduce` works better when there are large task results
returned at around the same time (which is common for ML tasks), while `reduce`
works better when there are many small task results returned in batches. If we
put them together, users may think that better `depth` gives better
scalability, which is not true. Again, no strong preference.
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