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xgboost (version 0.3-3)
eXtreme Gradient Boosting
Description
Xgboost is short for eXtreme Gradient Boosting, which is an
efficient and scalable implementation of gradient boosting framework.
This package is an R wrapper of xgboost. 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.