2016
Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale
NeurIPS 2016poster
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…