* add SHAP summary plot using ggplot2 * Update xgb.plot.shap * Update example in xgb.plot.shap documentation * update logic, add tests * whitespace fixes * whitespace fixes for test_helpers * namespace for sd function * explicitly declare variables that are automatically evaluated by data.table * Fix R lint Co-authored-by: Philip Hyunsu Cho <chohyu01@cs.washington.edu>
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.