Hendrik/xgboost

History

Vadim Khotilovich b52db87d5c adding feature contributions to R and gblinear (#2295 )

* [gblinear] add features contribution prediction; fix DumpModel bug

* [gbtree] minor changes to PredContrib

* [R] add feature contribution prediction to R

* [R] bump up version; update NEWS

* [gblinear] fix the base_margin issue; fixes #1969

* [R] list of matrices as output of multiclass feature contributions

* [gblinear] make order of DumpModel coefficients consistent: group index changes the fastest

2017-05-21 07:41:51 -04:00

..

resolving not-CRAN issues

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

in caret settings, if you want do 10*10 cross validation, you need to set repeats=10, number=10 and method=repeatedcv, (#2061 )

2017-02-25 09:16:19 -05:00

adding feature contributions to R and gblinear (#2295 )

2017-05-21 07:41:51 -04:00

adding feature contributions to R and gblinear (#2295 )

2017-05-21 07:41:51 -04:00

[R] native routines registration (#2290 )

2017-05-14 11:00:46 -07:00

adding feature contributions to R and gblinear (#2295 )

2017-05-21 07:41:51 -04:00

Fix typo (#2264 )

2017-05-07 16:54:48 -07:00

.Rbuildignore

fix namespace and desc

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

cleanup

Bump up version number, add cleanup script (#1886 )

2016-12-18 15:11:43 -08:00

configure

fix #2228 (#2238 )

2017-04-29 18:44:08 -07:00

configure.ac

fix #2228 (#2238 )

2017-04-29 18:44:08 -07:00

DESCRIPTION

adding feature contributions to R and gblinear (#2295 )

2017-05-21 07:41:51 -04:00

LICENSE

modify licence and desc to standard format

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

NAMESPACE

[R] native routines registration (#2290 )

2017-05-14 11:00:46 -07:00

README.md

[R] maintenance Apr 2017 (#2237 )

2017-05-01 22:51:34 -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 contributiors guide.