i've been studying gradient boosting so realize the pure algorithm requires a function F/model to get boosted.What is the explicit F on gradient boosting trees?
Topic ensemble-learning decision-trees
Category Data Science
It can be expressed as a linear combination of indicators, where the weights are the training averages on each partition of the space, and the indicator is the indicator for that partition.
Having said that, I haven't come across any software that automatically does it for you. I also think the analytic expressions might become very large when dealing with moderately wide trees.
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