Skip to content

Latest commit

 

History

History
111 lines (85 loc) · 4.86 KB

README.rst

File metadata and controls

111 lines (85 loc) · 4.86 KB

Logo

Bayesian Monte Carlo Markov Chain Regression

baypy is a python package for solving bayesian regression models through a Monte Carlo Markov chain sampling.

Release PyPI - Library Version Package Build
Versioning PyPI - Supported Python Versions semver Dependencies Status
Tests Linux Tests macOS Tests Windows Tests Test Coverage
Documentation Documentation Build Status
Code Quality CodeFactor Grade Codacy Grade Open Issues
License License

References

Contributing

The baypy project welcomes your expertise and enthusiasm! All contributions, bug reports, bug fixes, documentation improvements, enhancements and ideas are welcome. Writing code isn't the only way to contribute to baypy. You can also:

  • develop tutorials, presentations and other educational materials
  • maintain and improve the documentation,
  • help with outreach and onboard new contributors

Have a look at the contributing guide. If you are new to contributing to open source, this guide helps explain why, what, and how to successfully get involved.