Welcome to the Probabilistic Model's package.

This package contains an interface for any kind of probabilistic models. The aim of this package is to provide a clean, unifying, well documented API to probabilistic models. Just like sklearn does for classical machine learning models.

Read the docs here https://probabilistic-model.readthedocs.io/en/latest/.

Development

Testing

The project uses unittest for testing. To run the tests locally:

pip install -r requirements-dev.txt
pip install -e .
python -m unittest discover test

Continuous Integration

This project uses GitHub Actions for continuous integration. The CI pipeline runs automatically on push to main/master branches and on pull requests to these branches. It sets up a Python environment, installs dependencies, and runs the tests.

You can see the status of the CI pipeline in the GitHub Actions tab of the repository.