Github user srowen commented on the issue:
https://github.com/apache/spark/pull/22087
Aha. On the one hand, I suppose they can't extend that class because of the
signature difference, and indeed it says it's the superclass of regression and
classification models. I can imagine that the clustering algoritms should have
a ClusteringModel superclass or something with `predict(Vector):Int`. That I
suppose can be decided later. That is, maybe there isn't going to be a logical
overall superclass defining a universal prediction method, for reasons like
this. Yes, these things can return an Int where a Double is needed but that to
me isn't a great reason.
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