ProbNum-Evaluation¶
Evaluate the performance of (probabilistic) numerical methods. What makes an efficient and well calibrated probabilistic numerical algorithm? We don’t know either, but at least we can offer some quantification.
ProbNum-Evaluation offers a range of evaluation measures, including error analyses (with respect to different norms), calibration measures (chi-square statistics, non-credibility indices) and more.
To learn how to use ProbNum-Evaluation check out the quickstart guide and the tutorials. For guidelines how to contribute to ProbNum-Evaluation, please refer to the ` ProbNum documentation <https://probnum.readthedocs.io/en/latest/development/contributing.html>`.