Beta calibration - Python package

This package provides a BetaCalibration class which allows the user to fit any of our three proposed beta calibration models. For the paper and tutorials, check https://betacal.github.io/.

Dependencies

• [Numpy] - NumPy is the fundamental package for scientific computing with
  Python.
• [Scikit-learn] - Machine Learning in Python.

Usage

• Install from pip using “pip install betacal”
• Alternatively, download from the repository, cd to the folder and use “pip install .”
• Once installed, import the package using “import betacal”

Unittest

Create a virtual environment with the necessary dependencies

virtualenv venv
. ./venv/bin/activate
pip install -r requirements.txt

and then run the script runtests.sh

bash runtests.sh

License

MIT

[Numpy]: http://www.numpy.org
[Scikit-learn]: http://scikit-learn.org