Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale

NeurIPS 2016 Firas AbuzaidJoseph K. BradleyFeynman T. LiangAndrew FengLee YangMatei ZahariaAmeet S. Talwalkar

Deep distributed decision trees and tree ensembles have grown in importance due to the need to model increasingly large datasets. However, PLANET, the standard distributed tree learning algorithm implemented in systems such as \xgboost and Spark MLlib, scales poorly as data dimensionality and tree depths grow... (read more)

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