Github user dbtsai commented on the issue:
https://github.com/apache/spark/pull/11119
I was also thinking that most of people will use this for daily retraining
by passing in the previous model which will cause the model larger and larger
due to the model chain which is unnecessary as @MLnick's point. Depending on
what we decide to override, if we only override `k` and `centroids` for k means
or `coefficients` for LoR, should we just keep them in the returning model
without having the information as full `initialModel`? Or we just simply cut
the lineage?
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