LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed and efficient.
Project description
amd-lightgbm
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.
- Support of parallel, distributed, and GPU learning.
- Capable of handling large-scale data.
Information
- Homepage: https://github.com/rocm/lightgbm
- License: Apache 2.0
Installation
pip install amd-lightgbm
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