Github user dbtsai commented on the issue:
https://github.com/apache/spark/pull/14834
@sethah Thank you for coming up with PR with detailed documentation. For
option 2, if a two class model is trained with multinomial family, how do you
store it? I was thinking about maybe we could always store the coefficients as
`nClasses * numFeatures`, and when `nClasses == 2`, we convert it into `1 x
numFeatures` for prediction. Thus, we don't lose the performance, and also have
a consistent representation of models.
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