Hendrik/xgboost

History

Jiaming Yuan 9fbde21e9d

Rework the precision metric. (#9222 )

- Rework the precision metric for both CPU and GPU.
- Mention it in the document.
- Cleanup old support code for GPU ranking metric.
- Deterministic GPU implementation.

* Drop support for classification.

* type.

* use batch shape.

* lint.

* cpu build.

* cpu build.

* lint.

* Tests.

* Fix.

* Cleanup error message.

2023-06-02 20:49:43 +08:00

..

resolving not-CRAN issues

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

[R] enforce lintr checks (fixes #8012 ) (#8613 )

2022-12-25 05:02:56 +08:00

[R] discourage use of regex for fixed string comparisons (#8736 )

2023-01-30 18:47:21 +08:00

[doc][R] Update link. (#8998 )

2023-03-30 19:09:07 +08:00

Rework the precision metric. (#9222 )

2023-06-02 20:49:43 +08:00

Rework MAP and Pairwise for LTR. (#9075 )

2023-04-28 02:39:12 +08:00

[Breaking] Require format to be specified in input URI. (#9077 )

2023-04-28 19:45:15 +08:00

[R] address some lintr warnings (#8609 )

2022-12-17 18:36:14 +08:00

.Rbuildignore

fix namespace and desc

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

cleanup

[R] don't remove CMakeLists in cleanup (#6930 )

2021-05-03 17:46:15 +08:00

CMakeLists.txt

[CI] Require C++17 + CMake 3.18; Use CUDA 11.8 in CI (#8853 )

2023-03-01 09:22:24 -08:00

configure

Update c++ requirement to 17 for the R package. (#8860 )

2023-03-01 14:49:39 -08:00

configure.ac

Update c++ requirement to 17 for the R package. (#8860 )

2023-03-01 14:49:39 -08:00

configure.win

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

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

DESCRIPTION

Update c++ requirement to 17 for the R package. (#8860 )

2023-03-01 14:49:39 -08:00

LICENSE

[doc][R] Update link. (#8998 )

2023-03-30 19:09:07 +08:00

NAMESPACE

[R-package] remove dependency on {magrittr} (#6928 )

2021-05-13 04:34:59 +08:00

README.md

Update URL (#6810 )

2021-03-30 22:27:30 +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.