Learn R Programming

⚠️There's a newer version (1.7.10.1) of this package.Take me there.

xgboost (version 0.3-1)

eXtreme Gradient Boosting

Description

This package is a R wrapper of xgboost, which is short for eXtreme Gradient Boosting. It is an efficient and scalable implementation of gradient boosting framework. The package includes efficient linear model solver and tree learning algorithms. The package can automatically do parallel computation with OpenMP, and it can be more than 10 times faster than existing gradient boosting packages such as gbm. It supports various objective functions, including regression, classification and ranking. The package is made to be extensible, so that users are also allowed to define their own objectives easily.

Copy Link

Version

Install

install.packages('xgboost')

Monthly Downloads

71,322

Version

0.3-1

License

Apache License (== 2.0) | file LICENSE

Issues

Pull Requests

Stars

Forks

Maintainer

Tong He

Last Published

September 7th, 2014

Functions in xgboost (0.3-1)

agaricus.test

Test part from Mushroom Data Set
xgb.load

Load xgboost model from binary file
xgb.dump

Save xgboost model to text file
setinfo

Set information of an xgb.DMatrix object
slice

Get a new DMatrix containing the specified rows of orginal xgb.DMatrix object
xgb.DMatrix.save

Save xgb.DMatrix object to binary file
xgb.cv

Cross Validation
getinfo

Get information of an xgb.DMatrix object
agaricus.train

Training part from Mushroom Data Set
xgb.save

Save xgboost model to binary file
xgb.train

eXtreme Gradient Boosting Training
predict,xgb.Booster-method

Predict method for eXtreme Gradient Boosting model
xgb.DMatrix

Contruct xgb.DMatrix object
xgboost

eXtreme Gradient Boosting (Tree) library