MINUIT2 from Python - Data fitting like a boss
https://github.com/scikit-hep/iminuit
*iminuit* is a Python interface to the *MINUIT2* C++ package.
It can be used as a general robust function minimization method,
but is most commonly used for likelihood fits of models to data,
and to get model parameter error estimates from likelihood profile analysis.
- Developed at devel:languages:python:numeric
- Sources inherited from project openSUSE:Factory
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osc -A https://api.opensuse.org checkout openSUSE:Backports:SLE-15-SP4:FactoryCandidates/python-iminuit && cd $_ - Create Badge
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Source Files
| Filename | Size | Changed |
|---|---|---|
| iminuit-2.18.0.tar.gz | 0000431770 422 KB | |
| python-iminuit.changes | 0000015570 15.2 KB | |
| python-iminuit.spec | 0000003047 2.98 KB |
Revision 24 (latest revision is 32)
Dominique Leuenberger (dimstar_suse)
accepted
request 1056767
from
Dirk Mueller (dirkmueller)
(revision 24)
- update to v2.18.0: * Bump actions/checkout from 2 to 3 * ci: update to Python 3.11 final release * move tutorials * added visualize function to Minuit * Bump pypa/cibuildwheel from 2.10.2 to 2.11.2 * add more checks for gradients * Add Python 3.11, drop 3.6
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