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MINUIT2 from Python - Data fitting like a boss

Edit Package python-iminuit
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
  • 2 derived packages
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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's avatar Ana Guerrero (anag+factory) accepted request 1223991 from Dirk Mueller's avatar 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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