Package: wnpp Severity: wishlist Owner: Jeremy Sanders <jer...@jeremysanders.net>
* Package name : iminuit Version : 1.4.2 Upstream Author : Piti Ongmongkolkul * URL : https://github.com/scikit-hep/iminuit * License : MIT Programming Lang: C++, Python Description : Robust Python minimisation library based around MINUIT2 iminuit is a Jupyter-friendly Python frontend to the MINUIT2 C++ library. It can be used as a general robust function minimisation method, but is most commonly used for likelihood fits of models to data, and to get model parameter error estimates from likelihood profile analysis. Further comments - Optional dependency for veusz debian package - One of the most robust and easy to use numerical minimisation packages for Python - Based around MINUIT2, which is a rewrite of the very widely used and well-tested MINUIT minimisation package, developed since the 1970s - Other packages which provide similar minimisers are scipy. A comparison of its performance is here: https://iminuit.readthedocs.io/en/stable/benchmark.html - Would prefer to maintain it within the Debian Science Team - I would need a sponsor to get it included