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.
- Sources inherited from project devel:languages:python:numeric
- Devel package for openSUSE:Factory
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- Links to openSUSE:Factory / python-iminuit
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Source Files
| Filename | Size | Changed |
|---|---|---|
| _link | 0000000124 124 Bytes | |
| iminuit-2.21.2.tar.gz | 0000437341 427 KB | |
| python-iminuit.changes | 0000016453 16.1 KB | |
| python-iminuit.spec | 0000003337 3.26 KB |
Revision 44 (latest revision is 60)
Dirk Mueller (dirkmueller)
accepted
request 1074227
from
Atri Bhattacharya (badshah400)
(revision 44)
* Update to version 2.21.2. * Disable builds for python 3.11 as python311-numba is missing. * Use GCC 12 for openSUSE >= 1550 as GCC 13 (now the default) causes build failures. * Update minimum version for (Build)Requires: python-numpy in keeping with upstream. * New BuildRequires: python-typing_extensions (for tests).
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