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xgboost (version 0.3-0)

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 algorithm. 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 user are also allowed to define there own objectives easily.

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Install

install.packages('xgboost')

Monthly Downloads

71,482

Version

0.3-0

License

Apache License (== 2.0) | file LICENSE

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Maintainer

Tong He

Last Published

September 1st, 2014

Functions in xgboost (0.3-0)

xgb.load

Load xgboost model from binary file
xgb.DMatrix.save

Save xgb.DMatrix object to binary file
xgb.dump

Save xgboost model to text file
xgboost

eXtreme Gradient Boosting (Tree) library
slice

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

Contruct xgb.DMatrix object
xgb.save

Save xgboost model to binary file
predict,xgb.Booster-method

Predict method for eXtreme Gradient Boosting model
xgb.train

eXtreme Gradient Boosting Training
getinfo

Get information of an xgb.DMatrix object