Github user codedeft commented on the pull request:
https://github.com/apache/spark/pull/3094#issuecomment-61753980
@jkbradley @manishamde Is there a story for TreeBoost improvement for
Gradient Boosting? TreeBoosting basically improves the gradient estimation at
each iteration by re-calculating tree node predictions to minimize the loss
values.
This can be done through an additional aggregation step after training each
tree. To be efficient, it'll probably have to be added after optimizations on
GB.
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