A package to tune ML hyperparameters efficiently using Particle Swarm Optimization.
Please see ./examples for examples on how to use this package with your existing implementation.
Documentation about this repository can be found here.
Requires:
Python>=3(built using v3.7.4)numpy(built using v1.17.3)
Installation:
- from PyPI via PIP:
- TBD
- from source via PIP:
pip install git+https://github.com/brodderickrodriguez/hypertune.git
Acknowledgements:
- Travis E, Oliphant. A guide to NumPy, USA: Trelgol Publishing, (2006).
Contributors:
- Brodderick Rodriguez (web)