33 lines
1.4 KiB
Markdown
33 lines
1.4 KiB
Markdown
# xgboost4j
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this is a java wrapper for xgboost
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the structure of this wrapper is almost the same as the official python wrapper.
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core of this wrapper is two classes:
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* DMatrix: for handling data
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* Booster: for train and predict
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## usage:
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please refer to [xgboost4j.md](doc/xgboost4j.md) for more information.
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besides, simple examples could be found in [xgboost4j-demo](xgboost4j-demo/README.md)
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## build native library
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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:
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* Select x64/win32 and Release in build
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* (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.
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* rebuild all
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* double click "create_wrap.bat" to set library to proper place
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for linux:
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* make sure you have installed jdk and `JAVA_HOME` has been setted properly
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* run "create_wrap.sh"
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for osx:
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* make sure you have installed jdk
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* for single thread xgboost, simply run "create_wrap.sh"
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* for build with openMP, please refer to [build.md](../doc/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" |