Welcome to the Random Events package!

Probabilistic Machine Learning frequently requires descriptions of random variables and events that are shared among many packages. This package provides a common interface for describing random variables and events, using usable and easily extensible classes.

Installation:

For Users:

Install the package via

pip install random-events

For Developers:

Create your own fork of the original repository and clone the fork.

git clone *ADDRESS_OF_YOUR_FORK*

Move into the repository and initialize the submodules.

cd random-events
git submodule update --init --recursive

Now, install all requirements.

pip install -e ".[dev]"

Usage and Guides:

Check out the documentation.

Project links

Data verified by PyPI on Aug 27, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

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2 maintainers

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Credits

Author: Tom Schierenbeck

GitHub Statistics

Data verified by PyPI on Aug 27, 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

LGPL-3.0-only

Requires

Python >=3.8

Provides Extra

dev

Tags

random events probabilistic machine learning probability theory variables reasoning under uncertainty

Classifiers

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