lightgbm: Light Gradient Boosting Machine

Canonical link: https://rscholar.com/pkg/lightgbm

Yu Shi • Guolin Ke • Damien Soukhavong • James Lamb • Qi Meng • Thomas Finley • Taifeng Wang • Wei Chen • Weidong Ma • Qiwei Ye • Tie-Yan Liu • Nikita Titov • Yachen Yan • Microsoft Corporation • Dropbox • Alberto Ferreira • Daniel Lemire • Victor Zverovich • IBM Corporation • David Cortes • Michael Mayer • View description and downloads View dependencies GitHub project

2020 Published

4.5.0 Version

0 Citations

21 Authors

Referenced by ⇅	Year
EIX: Explain Interactions in 'XGBoost' (Version 1.2.0)	2019
SHAPforxgboost: SHAP Plots for 'XGBoost' (Version 0.1.3)	2019
bonsai: Model Wrappers for Tree-Based Models (Version 0.3.1)	2022
cbl: Causal Discovery under a Confounder Blanket (Version 0.1.3)	2022
fastml: Fast Machine Learning Model Training and Evaluation (Version 0.3.0)	2024
fastshap: Fast Approximate Shapley Values (Version 0.1.1)	2019
misspi: Missing Value Imputation in Parallel (Version 0.1.0)	2023
mllrnrs: R6-Based ML Learners for 'mlexperiments' (Version 0.0.4)	2023
predhy.GUI: Genomic Prediction of Hybrid Performance with Graphical User Interface (Version 2.0.1)	2023
predhy: Genomic Prediction of Hybrid Performance (Version 2.1.1)	2019
qeML: Quick and Easy Machine Learning Tools (Version 1.1)	2023
r2pmml: Convert R Models to PMML (Version 0.29.0)	2019
sae.projection: Small Area Estimation Using Model-Assisted Projection Method (Version 0.1.0)	2024
shapviz: SHAP Visualizations (Version 0.9.6)	2022
stackgbm: Stacked Gradient Boosting Machines (Version 0.1.0)	2024
treeshap: Compute SHAP Values for Your Tree-Based Models Using the 'TreeSHAP' Algorithm (Version 0.3.1)	2023
vip: Variable Importance Plots (Version 0.4.1)	2018

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.