r-xgboost
Extreme gradient boosting
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.
- Versions: 1.7.11.1
- Website: https://github.com/dmlc/xgboost
- Licenses: ASL 2.0
- Package source: gnu/packages/cran.scm
- Builds: See build status
- Issues: See known issues
Installation
Install the latest version of r-xgboost as follows:
guix install r-xgboost
Or install a particular version:
guix install r-xgboost@1.7.11.1
You can also install packages in augmented, pure or containerized environments for development or simply to try them out without polluting your user profile. See the guix shell documentation for more information.
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