xgboost: eXtreme Gradient Boosting
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.
Downloads:
Reverse dependencies: