* Update to C++17 * Turn off unity build * Update CMake to 3.18 * Use MSVC 2022 + CUDA 11.8 * Re-create stack for worker images * Allocate more disk space for Windows * Tempiorarily disable clang-tidy * RAPIDS now requires Python 3.10+ * Unpin cuda-python * Use latest NCCL * Use Ubuntu 20.04 in RMM image * Mark failing mgpu test as xfail
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.