Github user WeichenXu123 commented on the issue:
https://github.com/apache/spark/pull/19020
I also vote to combine them as one estimator, here are my two cents:
1, Regression with Huber loss is one kind of linear regression. It makes
sense to switch between different loss functions.
2, To combine them as one estimator should be more visible to users. Users
should be easy to try linear regression with different loss function.
3, It will reduce lots of code duplication.
thanks!
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