SciStanPy
Python wrapper around the Stan programming language, designed particularly for use in natural science applications.
Install / Use
/learn @microsoft/SciStanPyREADME
SciStanPy: Intuitive Bayesian Modeling for Scientists
Welcome to SciStanPy, a Python framework that makes Bayesian statistical modeling accessible to scientists and researchers. This page covers installation only. For comprehensive documentation, see the documentation. For worked examples, take a look at the examples subfolder of this repository. A static version of these examples can also be found in the documentation here.
NOTE: This is an Alpha release! Please:
- Open issues for all encountered issues
- Provide feedback! What works well? What can be improved?
Best efforts will be made to preserve the existing API structure, but it may change as feedback arrives.
Installation
To start, clone SciStanPy from GitHub:
git clone https://github.com/microsoft/SciStanPy.git
If you are not planning to contribute to SciStanPy, you can install with pip as below from the root directory.
pip install .
Once Python dependencies are installed with pip, install cmdstan with the command install_cmdstan. Installation of SciStanPy is now complete! Take a look here for a quick-start guide.
If you are a developer looking to contribute to SciStanPy (or if you are a casual user who wants to use the development environment), install via conda as below:
conda env create -f conda.yml
conda activate scistanpy
install_cmdstanpy
Contributing
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.
When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repositories using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.
Trademarks
This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft’s Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party’s policies.
