XGBoosthttp://mloss.orgUpdates and additions to XGBoostenTue, 12 May 2015 08:57:16 -0000XGBoost v0.4.0<html><ul> <li> Easily accessible in python, R, Julia, CLI </li> <li> Fast speed and memory efficient </li> <li> Can be more than 10 times faster than GBM in sklearn and R </li> <li> Handles sparse matrices, support external memory </li> <li> Accurate prediction, and used extensively by data scientists and kagglers </li> <li> See <a href="">highlight links</a> </li> <li> Distributed and Portable </li> <li> The distributed version runs on Hadoop (YARN), MPI, SGE etc. </li> <li> Scales to billions of examples and beyond </li> </ul></html>tianqi chen, kailong chen, tong heTue, 12 May 2015 08:57:16 -0000 boostingtreeensemble learning