Github user dbtsai commented on the issue:
    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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