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
qeML: Quick and Easy Machine Learning Tools (Version 1.1)	2023
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
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
r2pmml: Convert R Models to PMML (Version 0.28.0)	2019
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

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