xgboost/R-package
Kodi Arfer f100b8d878 [Breaking] Don't drop trees during DART prediction by default (#5115)
* Simplify DropTrees calling logic

* Add `training` parameter for prediction method.

* [Breaking]: Add `training` to C API.

* Change for R and Python custom objective.

* Correct comment.

Co-authored-by: Philip Hyunsu Cho <chohyu01@cs.washington.edu>
Co-authored-by: Jiaming Yuan <jm.yuan@outlook.com>
2020-01-13 21:48:30 +08:00
..
2015-01-20 15:51:42 -08:00
2019-08-07 11:43:20 +12:00
2019-07-25 00:37:38 -07:00
2015-07-24 11:58:02 -07:00
2019-07-25 00:37:38 -07:00
2018-03-28 10:05:47 -07:00
2019-03-09 01:50:07 +08:00

XGBoost R Package for Scalable GBM

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Resources

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

Development