scores is a Python package containing mathematical functions for the verification, evaluation and optimisation of forecasts, predictions or models. It supports labelled n-dimensional (multidimensional) data, which is used in many scientific fields and in machine learning. At present, scores primarily supports the geoscience communities; in particular, the meteorological, climatological and oceanographic communities.

Documentation is hosted at scores.readthedocs.io.
Source code is hosted at github.com/nci/scores.

Release Notes (What's New)

Version 1.0.0 (July 10, 2024)

We are happy to have reached the point of releasing "Version 1.0.0" of scores. While we look forward to many version increments to come, version 1.0.0 represents a milestone. It signifies a stabilisation of the API, and marks a turning point from the initial construction period. We have also published a paper in the Journal of Open Source Software (see citation further below).

From this point forward, scores will be following the Semantic Versioning Specification (SemVer) in its release management.

This is a good moment to acknowledge and thank the contributors that helped us reach this point. They are: Tennessee Leeuwenburg, Nicholas Loveday, Elizabeth E. Ebert, Harrison Cook, Mohammadreza Khanarmuei, Robert J. Taggart, Nikeeth Ramanathan, Maree Carroll, Stephanie Chong, Aidan Griffiths and John Sharples.

Please consider a citation of our paper if you use our code. The citation is:

Leeuwenburg, T., Loveday, N., Ebert, E. E., Cook, H., Khanarmuei, M., Taggart, R. J., Ramanathan, N., Carroll, M., Chong, S., Griffiths, A., & Sharples, J. (2024). scores: A Python package for verifying and evaluating models and predictions with xarray. Journal of Open Source Software, 9(99), 6889. https://doi.org/10.21105/joss.06889

BibTeX:

@article{Leeuwenburg_scores_A_Python_2024,
author = {Leeuwenburg, Tennessee and Loveday, Nicholas and Ebert, Elizabeth E. and Cook, Harrison and Khanarmuei, Mohammadreza and Taggart, Robert J. and Ramanathan, Nikeeth and Carroll, Maree and Chong, Stephanie and Griffiths, Aidan and Sharples, John},
doi = {10.21105/joss.06889},
journal = {Journal of Open Source Software},
month = jul,
number = {99},
pages = {6889},
title = {{scores: A Python package for verifying and evaluating models and predictions with xarray}},
url = {https://joss.theoj.org/papers/10.21105/joss.06889},
volume = {9},
year = {2024}
}

For the full details of all changes in this release, see the GitHub commit history.