Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/7705#issuecomment-125733987
I agree that (a) would require too much extra work.
(c) could be supported currently. It's (reasonably) straightforward to
implement it for LocalLDAModel, and DistributedLDAModel can use that same
method (since there is already a method for converting a DistributedLDAModel to
a local one).
Let's just support it for LocalLDAModel via variational inference for now.
We can postpone a hard decision about these options until later.
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