9254c58e4d
* add interaction constraints * enable both interaction and monotonic constraints at the same time * fix lint * add R test, fix lint, update demo * Use dmlc::JSONReader to express interaction constraints as nested lists; Use sparse arrays for bookkeeping * Add Python test for interaction constraints * make R interaction constraints parameter based on feature index instead of column names, fix R coding style * Fix lint * Add BlueTea88 to CONTRIBUTORS.md * Short circuit when no constraint is specified; address review comments * Add tutorial for feature interaction constraints * allow interaction constraints to be passed as string, remove redundant column_names argument * Fix typo * Address review comments * Add comments to Python test
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.