Summary
ibu-boost is a new gradient-boosted tree (GBDT) library that implements an "absolute-threshold rejection" method for split selection, diverging from traditional relative ranking. This approach is inspired by a screening transform technique originally proposed for Transformers. The independent implementation aims to apply this novel idea to potentially enhance GBDT performance and efficiency.
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