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
- Website: https://github.com/Microsoft/LightGBM
- License: Expat
- Package source: machine-learning.scm
- Patches: None
- Builds: x86_64-linux