Github user yinxusen commented on the pull request:
https://github.com/apache/spark/pull/11486#issuecomment-191814257
I can see from the mllib.NaiveBayes that the labels are sorted. But how
about if it is not 0 based or not continuous? Say, `1.0, 3.0, 5.0, ...`. It has
no effect on training/prediction, but has one on the `summary`. Otherwise I
have to extract the labels from its labelCol again.
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