Language

Package: r-xgboost @ 1.2.0.1

Synopsis

Extreme gradient boosting

Description

This package provides an R interface to Extreme Gradient Boosting, which is an efficient implementation of the gradient boosting framework from Chen and Guestrin (2016). The package includes efficient linear model solver and tree learning algorithms. The package can automatically do parallel computation on a single machine. 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.

Home page
https://github.com/dmlc/xgboost
Location
gnu/packages/cran.scm (line: 16265, column: 2)
License

Lint warnings

LinterMessageLocation
No lint warnings