Welcome to LightGBM’s documentation!

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 and GPU learning.

  • Capable of handling large-scale data.

For more details, please refer to Features.

Indices and Tables