xgboost4j

this is a java wrapper for xgboost

the structure of this wrapper is almost the same as the official python wrapper.

core of this wrapper is two classes:

• DMatrix: for handling data

• Booster: for train and predict

usage:

please refer to xgboost4j.md for more information.

besides, simple examples could be found in xgboost4j-demo

build native library

for windows: open the xgboost.sln in "../windows" folder, you will found the xgboost4j project, you should do the following steps to build wrapper library:

• Select x64/win32 and Release in build
• (if you have setted JAVA_HOME properly in windows environment variables, escape this step) right click on xgboost4j project -> choose "Properties" -> click on "C/C++" in the window -> change the "Additional Include Directories" to fit your jdk install path.
• rebuild all
• double click "create_wrap.bat" to set library to proper place

for linux:

• make sure you have installed jdk and JAVA_HOME has been setted properly
• run "create_wrap.sh"

for osx:

• make sure you have installed jdk
• for single thread xgboost, simply run "create_wrap.sh"
• for build with openMP, please refer to build.md to get openmp supported compiler first, and change the line "dis_omp=1" to "dis_omp=0" in "create_wrap.sh", then run "create_wrap.sh"