64b8cffde3
* Refactor to allow for custom regularisation methods * Implement compositional SplitEvaluator framework * Fixed segfault when no monotone_constraints are supplied. * Change pid to parentID * test_monotone_constraints.py now passes * Refactor ColMaker and DistColMaker to use SplitEvaluator * Performance optimisation when no monotone_constraints specified * Fix linter messages * Fix a few more linter errors * Update the amalgamation * Add bounds check * Add check for leaf node * Fix linter error in param.h * Fix clang-tidy errors on CI * Fix incorrect function name * Fix clang-tidy error in updater_fast_hist.cc * Enable SSE2 for Win32 R MinGW Addresses https://github.com/dmlc/xgboost/pull/3335#issuecomment-400535752 * Add contributor
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.