Update CHANGES.md

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
+------------------