Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/3746#issuecomment-67826137
@bryanyang0528 I don't think anyone's suggesting that the extra factor of
1/2 is more or less correct or desirable per se. The solution doesn't depend on
the absolute value of the loss function, but its minimum only. But I think the
question here is being consistent with the loss function as implemented by
other software packages, so that the absolute value can be compared, for the
same setting of learning rate, overfitting param, etc.
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