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.

LightGBM, short for Light Gradient-Boosting Machine, is a free and open-source distributed gradient-boosting framework for machine learning, originally developed by Microsoft. [4][5] It is based on decision tree algorithms and used for ranking, …

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.

2025年3月11日 · LightGBM is a high-performance, open-source gradient boosting framework developed by Microsoft, optimized for efficiency and accuracy with large datasets through innovative techniques like leaf-wise tree growth and histogram-based learning.

2024年1月8日 · LightGBM, an open-source gradient boosting framework known for its efficiency with large datasets, was developed by Microsoft’s team led by Guolin Ke and introduced in a 2017 paper titled...

2016年10月1日 · LightGBM is a GBDT open-source tool enabling highly efficient training over large scale datasets with low memory cost. LightGBM adopts two novel techniques Gradient-based One-Side Sampling (GOSS) and Exclusive Feature Bundling (EFB).

call our new GBDT implementation with GOSS and EFB LightGBM. Our experiments on multiple public datasets show that, LightGBM speeds up the training process of conventional GBDT by

2024年10月14日 · What is LightGBM (Light gradient Boosting Machine)? LightGBM is a powerful and efficient open-source gradient boosting framework for machine learning. It’s specifically designed to handle large datasets and perform well in terms of speed and memory usage.

2024年11月18日 · LightGBM (which stands for Light Gradient Boosting Machine) is a machine learning tool that combines multiple weak learners. It was created to address the challenges of big data by...

Instead of “Merge global histograms from all local histograms”, LightGBM uses “Reduce Scatter” to merge histograms of different (non-overlapping) features for different workers.