ok

CHANGES.md

@@ -1,4 +1,4 @@
-Change Log of Versions
+Change Log
 =====
 
 xgboost-0.1
@@ -14,8 +14,8 @@ xgboost-0.2x
 xgboost-unity
 =====
 * Faster tree construction module
-  - Allows subsample columns as well during tree construction
+  - Allows subsample columns during tree construction via ```bst:col_samplebytree=ratio```
 * Support for boosting from initial predictions
 * Experimental version of LambdaRank
 * Linear booster is now parallelized, using parallel coordinated descent.
-* Add [Code Guide](src/README.md) for customizing objective function and 
+* Add [Code Guide](src/README.md) for customizing objective function and evaluation

README.md

@@ -21,14 +21,6 @@ Features
 * Layout of gradient boosting algorithm to support user defined objective
 * Python interface, works with numpy and scipy.sparse matrix
 
-Version
-======
-* This version is named xgboost-unity, the code has been refactored from 0.2x to be cleaner and more flexibility
-* This version of xgboost is not compatible with 0.2x, due to huge amount of changes in code structure
-  - This means the model and buffer file of previous version can not be loaded in xgboost-unity
-* For legacy 0.2x code, refer to [Here](https://github.com/tqchen/xgboost/releases/tag/v0.22)
-* Change log in [CHANGES.md](CHANGES.md)
-
 Build
 ======
 * Simply type make
@@ -40,3 +32,10 @@ Build
   - In principle, you can put src/xgboost.cpp and src/io/io.cpp into the project, and build xgboost.
   - For python module, you need python/xgboost_wrapper.cpp and src/io/io.cpp to build a dll.
 
+Version
+======
+* This version is named xgboost-unity, the code has been refactored from 0.2x to be cleaner and more flexibility
+* This version of xgboost is not compatible with 0.2x, due to huge amount of changes in code structure
+  - This means the model and buffer file of previous version can not be loaded in xgboost-unity
+* For legacy 0.2x code, refer to [Here](https://github.com/tqchen/xgboost/releases/tag/v0.22)
+* Change log in [CHANGES.md](CHANGES.md)

src/README.md

@@ -1,5 +1,6 @@
 Coding Guide
 ======
+This file is intended to be notes about code structure in xgboost
 
 Project Logical Layout
 =======

src/learner/evaluation.h

@@ -43,7 +43,6 @@ inline IEvaluator* CreateEvaluator(const char *name) {
   if (!strncmp(name, "ams@", 4)) return new EvalAMS(name);
   if (!strncmp(name, "pre@", 4)) return new EvalPrecision(name);
   if (!strncmp(name, "pratio@", 7)) return new EvalPrecisionRatio(name);
-  if (!strncmp(name, "apratio@", 8)) return new EvalPrecisionRatio(name);
   if (!strncmp(name, "map", 3)) return new EvalMAP(name);
   if (!strncmp(name, "ndcg", 3)) return new EvalNDCG(name);
   utils::Error("unknown evaluation metric type: %s", name);