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Package: lightgbm @ 2.0.12

Synopsis

Gradient boosting framework based on decision tree algorithms

Description

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

Home page
https://github.com/Microsoft/LightGBM
Location
gnu/packages/machine-learning.scm (line: 896, column: 2)
License

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