2b5b96d760
* [R] xgb.save must work when handle in nil but raw exists * [R] print.xgb.Booster should still print other info when handle is nil * [R] rename internal function xgb.Booster to xgb.Booster.handle to make its intent clear * [R] rename xgb.Booster.check to xgb.Booster.complete and make it visible; more docs * [R] storing evaluation_log should depend only on watchlist, not on verbose * [R] reduce the excessive chattiness of unit tests * [R] only disable some tests in windows when it's not 64-bit * [R] clean-up xgb.DMatrix * [R] test xgb.DMatrix loading from libsvm text file * [R] store feature_names in xgb.Booster, use them from utility functions * [R] remove non-functional co-occurence computation from xgb.importance * [R] verbose=0 is enough without a callback * [R] added forgotten xgb.Booster.complete.Rd; cran check fixes * [R] update installation instructions
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')
You can also install from our weekly updated drat repo:
install.packages("xgboost", repos=c("http://dmlc.ml/drat/", getOption("repos")), type="source")
Important Due to the usage of submodule, install_github is no longer support to install the
latest version of R package.
For up-to-date version, please install from github.
Windows users will need to install RTools first. They also need to download MinGW-W64 using x86_64 architecture during installation.
Run the following command to add MinGW to PATH in Windows if not already added.
PATH %PATH%;C:\Program Files\mingw-w64\x86_64-5.3.0-posix-seh-rt_v4-rev0\mingw64\bin
To compile xgboost at the root of your storage, run the following bash script.
git clone --recursive https://github.com/dmlc/xgboost
cd xgboost
git submodule init
git submodule update
alias make='mingw32-make'
cd dmlc-core
make -j4
cd ../rabit
make lib/librabit_empty.a -j4
cd ..
cp make/mingw64.mk config.mk
make -j4
Run the following R script to install xgboost package from the root directory.
install.package('devtools') # if not installed
setwd('C:/xgboost/')
library(devtools)
install('R-package')
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.