* Refactor CMake scripts. * Remove CMake CUDA wrapper. * Bump CMake version for CUDA. * Use CMake to handle Doxygen. * Split up CMakeList. * Export install target. * Use modern CMake. * Remove build.sh * Workaround for gpu_hist test. * Use cmake 3.12. * Revert machine.conf. * Move CLI test to gpu. * Small cleanup. * Support using XGBoost as submodule. * Fix windows * Fix cpp tests on Windows * Remove duplicated find_package.
XGBoost R Package for Scalable GBM
Resources
- XGBoost R Package Online Documentation
- Check this out for detailed documents, examples and tutorials.
Installation
We are on CRAN now. For stable/pre-compiled(for Windows and OS X) version, please install from CRAN:
install.packages('xgboost')
For more detailed installation instructions, please see here.
Examples
- Please visit walk through example.
- See also the example scripts for Kaggle Higgs Challenge, including speedtest script on this dataset and the one related to Otto challenge, including a RMarkdown documentation.
Development
- See the R Package section of the contributors guide.