quick fix of solaris problem in cranc check

CHANGES.md

@@ -1,18 +1,18 @@
 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
@@ -35,9 +35,11 @@ xgboost-0.4
 * sklearn wrapper is supported in python module
 * Experimental External memory version
 
-on going version
-=====
+on going at master
+==================
+* Fix List
+  - Fixed possible problem of poisson regression for R.
 * Python module now throw exception instead of crash terminal when a parameter error happens.
 * Java api is ready for use
 * Added more test cases and continuous integration to make each build more robust
-* Improvements in sklearn compatible module
+* Improvements in sklearn compatible module

R-package/README.md

@@ -24,10 +24,10 @@ If you face an issue installing the package using  ```devtools::install_github``
 ```
 devtools::install_github('dmlc/xgboost',subdir='R-package')
 Downloading github repo dmlc/xgboost@master
-Error in function (type, msg, asError = TRUE)  : 
+Error in function (type, msg, asError = TRUE)  :
   Peer certificate cannot be authenticated with given CA certificates
 ```
-To get around this you can build the package locally as mentioned [here](https://github.com/dmlc/xgboost/issues/347) - 
+To get around this you can build the package locally as mentioned [here](https://github.com/dmlc/xgboost/issues/347) -
 ```
 1. Clone the current repository and set your workspace to xgboost/R-package/
 2. Run R CMD INSTALL --build . in terminal to get the tarball.

R-package/src/xgboost_R.cpp

@@ -32,7 +32,7 @@ extern "C" {
 bool CheckNAN(double v) {
   return ISNAN(v);
 }
-bool LogGamma(double v) {
+double LogGamma(double v) {
   return lgammafn(v);
 }
 }  // namespace utils