r-lightgbm
Light gradient boosting machine
Tree based algorithms can be improved by introducing boosting frameworks. LightGBM is one such framework, based on Ke, Guolin et al. (2017). This package offers an R interface to work with it. It is designed to be distributed and efficient with the following goals:
Faster training speed and higher efficiency;
lower memory usage;
better accuracy;
parallel learning supported; and
capable of handling large-scale data.
- Versions: 4.5.0
- Website: https://github.com/Microsoft/LightGBM
- Licenses: Expat
- Package source: gnu/packages/cran.scm
- Builds: See build status
- Issues: See known issues
Installation
Install the latest version of r-lightgbm as follows:
guix install r-lightgbm
Or install a particular version:
guix install r-lightgbm@4.5.0
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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