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cff-version: 1.2.0
message: 'To cite package "lightgbm" in publications use:'
type: software
license: MIT
title: 'lightgbm: Light Gradient Boosting Machine'
version: 4.5.0
doi: 10.32614/CRAN.package.lightgbm
abstract: 'Tree based algorithms can be improved by introducing boosting frameworks.
  ''LightGBM'' is one such framework, based on Ke, Guolin et al. (2017) <https://papers.nips.cc/paper/6907-lightgbm-a-highly-efficient-gradient-boosting-decision>.
  This package offers an R interface to work with it. It is designed to be distributed
  and efficient with the following advantages: 1. Faster training speed and higher
  efficiency. 2. Lower memory usage. 3. Better accuracy. 4. Parallel learning supported.
  5. Capable of handling large-scale data. In recognition of these advantages, ''LightGBM''
  has been widely-used in many winning solutions of machine learning competitions.
  Comparison experiments on public datasets suggest that ''LightGBM'' can outperform
  existing boosting frameworks on both efficiency and accuracy, with significantly
  lower memory consumption. In addition, parallel experiments suggest that in certain
  circumstances, ''LightGBM'' can achieve a linear speed-up in training time by using
  multiple machines.'
authors:
- family-names: Shi
  given-names: Yu
  email: yushi2@microsoft.com
- family-names: Ke
  given-names: Guolin
  email: guolin.ke@outlook.com
- family-names: Soukhavong
  given-names: Damien
  email: damien.soukhavong@skema.edu
- family-names: Lamb
  given-names: James
  email: jaylamb20@gmail.com
- family-names: Meng
  given-names: Qi
- family-names: Finley
  given-names: Thomas
- family-names: Wang
  given-names: Taifeng
- family-names: Chen
  given-names: Wei
- family-names: Ma
  given-names: Weidong
- family-names: Ye
  given-names: Qiwei
- family-names: Liu
  given-names: Tie-Yan
- family-names: Titov
  given-names: Nikita
- family-names: Cortes
  given-names: David
repository: https://jameslamb.r-universe.dev
repository-code: https://github.com/Microsoft/LightGBM
commit: f9eaa7014fc8221acc77b59b8788b3c14f6d2553
url: https://github.com/Microsoft/LightGBM
date-released: '2024-07-25'
contact:
- family-names: Lamb
  given-names: James
  email: jaylamb20@gmail.com