706be4e5d4
* fix rebase conflict * [core] additional gblinear improvements * [R] callback for gblinear coefficients history * force eta=1 for gblinear python tests * add top_k to GreedyFeatureSelector * set eta=1 in shotgun test * [core] fix SparsePage processing in gblinear; col-wise multithreading in greedy updater * set sorted flag within TryInitColData * gblinear tests: use scale, add external memory test * fix multiclass for greedy updater * fix whitespace * fix typo
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 contributiors guide.