lightgbm

Gradient boosting framework that uses tree based learning algorithms

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.