Github user srowen commented on the issue:
https://github.com/apache/spark/pull/17556
@sethah what's the issue there ... train/test ought to be from the same
distribution, in theory. The empirical distribution of the test data will of
course be a little different, but what is the issue with that w.r.t. this
change? From a theoretical perspective, picking the midpoint seems more
justified than picking an endpoint, and a weighted mean moreso than a midpoint.
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