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://cram2.github.io/cognitive_robot_abstract_machine/probabilistic_model/.

Development

Testing

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

pip install -e ".[dev]"
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.

Project links

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Credits

Author: Tom Schierenbeck

GitHub Statistics

Data verified by PyPI on Aug 26, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

LGPL-3.0-only
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Requires

Python >=3.10

Provides Extra

dev

Tags

probabilistic models probabilistic machine learning probability theory variables reasoning under uncertainty

Classifiers

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