skbel 2.1.4

A set of Python modules to implement the Bayesian Evidential Learning (BEL) framework

skbel is a Python module for implementing the Bayesian Evidential Learning framework built on top of scikit-learn and is distributed under the 3-Clause BSD license.

Installation

Dependencies

skbel requires:

• Python (>= 3.7)

• Scikit-Learn (>= 0.24.1)

• NumPy (>= 1.14.6)

• SciPy (>= 1.1.0)

• joblib (>= 0.11)

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Skbel plotting capabilities require Matplotlib (>= 2.2.2).

User installation

The easiest way to install skbel is using pip

pip install -U skbel

Development

We welcome new contributors of all experience levels.

Important links

• Official source code repo: https://github.com/robinthibaut/skbel/

• Download releases: https://pypi.org/project/skbel/

• Issue tracker: https://github.com/robinthibaut/skbel/issues

Source code

You can check the latest sources with the command:

git clone https://github.com/robinthibaut/skbel.git

Contributing

Contributors and feedback from users are welcome. Don’t hesitate to submit an issue or a PR, or request a new feature.

Testing

After installation, you can launch the test suite from outside the source directory (you will need to have pytest >= 5.0.1 installed):

pytest skbel

Help and Support

Documentation

• HTML documentation (latest release): https://skbel.readthedocs.io/en/latest/

Communication

• Github Discussions: https://github.com/robinthibaut/skbel/discussions

How to cite

Thibaut, R., 2021. SKBEL – Bayesian Evidential Learning framework built on top of Scikit-learn. Zenodo. https://doi.org/10.5281/zenodo.5526609