LightGBM - Read the Docs

LightGBM

Release 3.2.1.99 Microsoft Corporation

Oct 05, 2021

1 Installation Guide 2 Quick Start 3 Python-package Introduction 4 Features 5 Experiments 6 Parameters 7 Parameters Tuning 8 C API 9 Python API 10 Distributed Learning Guide 11 LightGBM GPU Tutorial 12 Advanced Topics 13 LightGBM FAQ 14 Development Guide 15 GPU Tuning Guide and Performance Comparison 16 GPU SDK Correspondence and Device Targeting Table 17 GPU Windows Compilation 18 Recommendations When Using gcc 19 Documentation 20 Indices and Tables Index

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LightGBM, Release 3.2.1.99

LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed and efficient with the following advantages:

? Faster training speed and higher efficiency. ? Lower memory usage. ? Better accuracy. ? Support of parallel, distributed, and GPU learning. ? Capable of handling large-scale data. For more details, please refer to Features.

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