On 2020-08-08 13:53, Jeremy Sanders wrote:
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.
Package: wnpp
* Package name : iminuit
* URL : https://github.com/scikit-hep/iminuit
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
...
- Other packages which provide similar minimisers are scipy. A
comparison
of its performance is here:
https://iminuit.readthedocs.io/en/stable/benchmark.html
One question: those benchmarks indicate that scipy CG or Powell
generally performs better. What is the use-case for minuit? Why not
just use scipy?
