History

Philip Hyunsu Cho 6347fa1c2e

[R] Enable weighted learning to rank (#5945 )

* [R] enable weighted learning to rank

* Add R unit test for ranking

* Fix lint

2020-07-26 21:10:36 -07:00

data

resolving not-CRAN issues

2015-01-20 15:51:42 -08:00

demo

[R] replace uses of T and F with TRUE and FALSE (#5778 )

2020-06-11 06:08:02 -04:00

inst

[R] Remove dependency on gendef for Visual Studio builds (fixes #5608 ) (#5764 )

2020-06-15 00:20:44 +00:00

man

[R] Add a compatibility layer to load Booster object from an old RDS file (#5940 )

2020-07-26 00:06:49 -07:00

[R] Enable weighted learning to rank (#5945 )

2020-07-26 21:10:36 -07:00

src

[R] Add a compatibility layer to load Booster object from an old RDS file (#5940 )

2020-07-26 00:06:49 -07:00

tests

[R] Enable weighted learning to rank (#5945 )

2020-07-26 21:10:36 -07:00

vignettes

[R] replace uses of T and F with TRUE and FALSE (#5778 )

2020-06-11 06:08:02 -04:00

.Rbuildignore

fix namespace and desc

2015-07-24 11:58:02 -07:00

cleanup

[R] Fix CRAN error for Mac OS X (#4672 )

2019-07-17 17:55:52 -07:00

CMakeLists.txt

Add option to enable all compiler warnings in GCC/Clang (#5897 )

2020-07-21 23:34:03 -07:00

configure

[R] Fix duplicated libomp.dylib error on Mac OSX (#5701 )

2020-05-24 23:37:33 -07:00

configure.ac

[R] Fix duplicated libomp.dylib error on Mac OSX (#5701 )

2020-05-24 23:37:33 -07:00

configure.win

[core] fix slow predict-caching with many classes (#3109 )

2018-02-15 18:31:42 -06:00

DESCRIPTION

Cache dependencies on Github Action. (#5928 )

2020-07-23 14:00:19 +08:00

LICENSE

modify licence and desc to standard format

2014-08-30 12:11:15 -07:00

NAMESPACE

[R] R raw serialization. (#5123 )

2020-04-11 17:16:54 +08:00

README.md

Update R contribute link. (#4236 )

2019-03-09 01:50:07 +08:00

remove_warning_suppression_pragma.sh

For CRAN submission, remove all #pragma's that suppress compiler warnings (#3329 )

2018-05-23 09:58:39 -07:00

README.md

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.