This implementation use histogram-based algorithm. See: “Mcrank: Learning to rank using multiple classification and gradient boosting”, Ping Li et al., NIPS 2007, for detail and experiments on histogram-based algorithm.

This implementation use data-parallel algorithm. See: “A communication-efficient parallel algorithm for decision tree”, Qi Meng et al., NIPS 2016 for an introduction on data-parallel, feature-parallel, etc., algorithms to construct decision forests.

Result

Stream Prediction