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
  • Parallel and GPU learning supported
  • Capable of handling large-scale data

For more details, please refer to Features.

Indices and Tables