History

Vadim Khotilovich f325930bd9 Improved logic in stratified CV to guess class/regr

Somewhat more robust and clear logic in stratified CV to guess classification/regression settings. Allows to accomodate custom objectives (classification is assumed when number of unique values in labels <= 5).

2015-05-01 15:08:08 -05:00

data

resolving not-CRAN issues

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

demo

To submit to CRAN we cannot use more than 2 threads in our examples/vignettes

2015-03-03 00:21:24 -08:00

man

Merge pull request #227 from khotilov/master

2015-04-30 11:39:52 -07:00

Improved logic in stratified CV to guess class/regr

2015-05-01 15:08:08 -05:00

src

2015-04-16 17:03:18 -07:00

vignettes

Update vignette

2015-04-14 00:39:51 +02:00

.Rbuildignore

add Rbuildignore to avoid compile .o files

2015-04-27 17:09:47 -07:00

DESCRIPTION

moved the external graphing packages to Suggested in order to trim the dependencies

2015-04-07 18:02:29 -05:00

LICENSE

modify licence and desc to standard format

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

NAMESPACE

moved the external graphing packages to Suggested in order to trim the dependencies

2015-04-07 18:02:29 -05:00

README.md

Update README.md

2015-03-21 22:26:59 -07:00

README.md

R package for xgboost.

Installation

For up-to-date version (which is recommended), please install from github. Windows user will need to install RTools first.

devtools::install_github('dmlc/xgboost',subdir='R-package')

For stable version on CRAN, please run

install.packages('xgboost')

Examples

Please visit walk through example.
See also the example scripts for Kaggle Higgs Challenge, including speedtest script on this dataset.