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/.
- Numpy - NumPy is the fundamental package for scientific computing with Python.
- Scikit-learn - Machine Learning in Python.
- 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"
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
MIT