Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/18313
Current implementation of `CrossValidator` (with or without this PR)
**NEVER** holds all the trained models in the driver memory at the same time.
It collects models sequentially and allows GC to clear previous trained models.
With all due respect, for the record, I strongly vote against keeping all
the models in the CrossValidatorModel in any way, which makes it impractical
for any production usage.
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