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
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Source Files
Filename | Size | Changed |
---|---|---|
_multibuild | 0000000085 85 Bytes | |
iminuit-2.30.1.tar.gz | 0001835277 1.75 MB | |
python-iminuit.changes | 0000023016 22.5 KB | |
python-iminuit.spec | 0000003209 3.13 KB |
Latest Revision
Ana Guerrero (anag+factory)
accepted
request 1223991
from
Dirk Mueller (dirkmueller)
(revision 35)
- update to 2.30.1: * Ci: add 3.13 wheels * Fix: root version in docs * Allow to modify slider range in interactive widget * Fix: add readout_format to slider * Show correct ROOT version in documentation * Fix odr issue in type_caster which could result in ub when -flto is enabled * Remove packaging dependency * Restore cython tutorial * Support sum(w) < 0 in binned fits * Set pybind11_findpython on to use findpython cmake mode * Fix version parse * Improve maintainer metadata * Iteration limit in smart sampling to fix behavior for step functions * Support interval type and check compatibility with pydantic - renenable build for python311 (numba available) - Do not build for Python 3.6, due to no NumPy.
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