From 104fced9c31eeeb1075b2cea08c4f16f2c993015 Mon Sep 17 00:00:00 2001
From: tqchen <tianqi.tchen@gmail.com>
Date: Fri, 22 Aug 2014 19:52:43 -0700
Subject: [PATCH] ok

---
 CHANGES.md               |  6 +++---
 README.md                | 15 +++++++--------
 src/README.md            |  1 +
 src/learner/evaluation.h |  1 -
 4 files changed, 11 insertions(+), 12 deletions(-)

diff --git a/CHANGES.md b/CHANGES.md
index 1e3b5c67f..2c0c5122f 100644
--- a/CHANGES.md
+++ b/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
diff --git a/README.md b/README.md
index 7b28e4499..73bcd88d0 100644
--- a/README.md
+++ b/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)
diff --git a/src/README.md b/src/README.md
index 35d9b08e8..5bfc3722a 100644
--- a/src/README.md
+++ b/src/README.md
@@ -1,5 +1,6 @@
 Coding Guide
 ======
+This file is intended to be notes about code structure in xgboost
 
 Project Logical Layout
 =======
diff --git a/src/learner/evaluation.h b/src/learner/evaluation.h
index 02fb8fdf8..966499965 100644
--- a/src/learner/evaluation.h
+++ b/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);