ITP: iminuit -- Robust Python minimisation library based around MINUIT2
Sorry. I forgot to CC the science list while filing the ITP.
You can follow progress on this Bug here: 968075:
https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=968075.
-------- Forwarded Message --------
Subject: ITP: iminuit -- Robust Python minimisation library based around
MINUIT2
Date: Sat, 8 Aug 2020 07:40:46 +0200
From: Jeremy Sanders <jeremy@jeremysanders.net>
To: Debian Bug Tracking System <submit@bugs.debian.org>
Package: wnpp
Severity: wishlist
Owner: Jeremy Sanders <jeremy@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
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