Metadata-Version: 2.1
Name: thundergbm
Version: 0.3.8
Summary: A Fast GBM Library on GPUs and CPUs
Home-page: https://github.com/zeyiwen/thundergbm
Author: Xtra Computing Group
Maintainer: thundergbm contributors
Maintainer-email: wenzy@comp.nus.edu.sg
License: Apache-2.0
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Description-Content-Type: text/plain
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: scikit-learn

The mission of ThunderGBM is to help users easily and efficiently apply GBDTs and Random Forests to solve problems. ThunderGBM exploits GPUs and multi-core CPUs to achieve high efficiency


