Github user sethah commented on the issue:
https://github.com/apache/spark/pull/19106
I'm confused how this issue was discovered in the first place. Did someone
actually train an RF/DT and receive all zero probabilities? If so, shouldn't
there be a unit test that recreates that scenario?
Anyway, AFAICT the only way this could happen is if the RandomForest was
trained on an empty DataFrame which couldn't happen because it would fail
before the train method was called anyway.
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