Github user sethah commented on the issue:
https://github.com/apache/spark/pull/18513
Just to clarify:
* If I want to treat a column as categorical that is represented by
integers, I'd have to map those integers to strings, right? I believe that's
one of your bullets above.
* This is going to one-hot encoding on categorical columns, effectively,
which is going to create linearly dependent columns since there is no parameter
to drop the last column. Maybe there's a good solution, but I don't think we
have to address it here. Just wanted to check.
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