Github user MLnick commented on the issue:
https://github.com/apache/spark/pull/15831
I'm also generally supportive of (1) - porting the code to `ml` and having
the `mllib` code wrap the `ml` version - this is the approach for other models
that have been done. Of course only once *all* `mllib` code has been ported
over fully can we ultimately deprecate `mllib`.
I guess we can start doing this for some transformers like these - but
ideally we should focus on porting stuff that's still missing in `ml` first.
I'd prefer that we create a top-level JIRA to track all the components that
need to be done, and link everything appropriately. We also need to decide on
priority - we may realistically be working on it over a 1-1.5 year time frame.
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