From 0dc68b1aefe4a09775a2b86103643f9bce6979d2 Mon Sep 17 00:00:00 2001 From: Tianqi Chen Date: Thu, 14 Jan 2016 15:58:02 -0800 Subject: [PATCH] Update CHANGES.md --- CHANGES.md | 15 +++++++++------ 1 file changed, 9 insertions(+), 6 deletions(-) diff --git a/CHANGES.md b/CHANGES.md index 25d7efe26..1a10f04e7 100644 --- a/CHANGES.md +++ b/CHANGES.md @@ -2,17 +2,17 @@ Change Log ========== xgboost-0.1 -=========== +----------- * Initial release xgboost-0.2x -============ +------------ * Python module * Weighted samples instances * Initial version of pairwise rank xgboost-0.3 -=========== +----------- * Faster tree construction module - Allows subsample columns during tree construction via ```bst:col_samplebytree=ratio``` * Support for boosting from initial predictions @@ -22,7 +22,7 @@ xgboost-0.3 * Add R module xgboost-0.4 -=========== +----------- * Distributed version of xgboost that runs on YARN, scales to billions of examples * Direct save/load data and model from/to S3 and HDFS * Feature importance visualization in R module, by Michael Benesty @@ -35,8 +35,8 @@ xgboost-0.4 * sklearn wrapper is supported in python module * Experimental External memory version -on going at master -================== +xgboost-0.47 +------------ * Changes in R library - fixed possible problem of poisson regression. - switched from 0 to NA for missing values. @@ -56,3 +56,6 @@ on going at master - added best_ntree_limit attribute, in addition to best_score and best_iteration. * Java api is ready for use * Added more test cases and continuous integration to make each build more robust. + +on going at master +------------------