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/.
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
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.
FAQs
Models for probabilistic reasoning
We found that probabilistic-model demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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