Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15435
I still don't know what the plan _was_ for the downcasting issue, and it
doesn't seem to me like there's really a good solution. `evaluate` returns a
`LogisticRegressionSummary` so, we have to downcast that in the binary case
regardless. We still have the issue of downcasting in the multiclass case if we
ever have methods defined outside of the `LogisticRegressionSummary` trait.
As far as the inheritance goes, I think a binary summary can do anything
that a multiclass summary can do, so I think it's good to have
`BinaryLogisticRegressionSummary extends MulticlassLogisticRegressionSummary`.
@jkbradley Is there any clarification you can provide?
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