lightgbm 2.0.12 Gradient boosting framework based on decision tree 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

  • Parallel and GPU learning supported (not enabled in this package)

  • Capable of handling large-scale data