forked from pool/python-lmfit
5c0159d016
* New features:
+ add 'min_rel_change' as optional variable in calculation of confidence
intervals with Model.conf_interval().
+ Model.eval_uncertainty now takes an optional dscale parameter (default
value of 0.01) to set the step size for calculating derivatives
+ add calculation of predicted_interval to Model.eval_uncertainty
* Bug fixes/enhancements:
+ allow Model.eval_uncertainty to be performed with single points for x
independent variables
+ allow Model._parse_param to handle older-style passed-in 'argnames' and
'kwargs' as for variadic function
+ better allow (or re-allow) Model function independent variables / keyword
arguments to be given non-default values at model creation time
+ add form as independent variable for builtin Step, Rectangle, Thermal
Distribution models.
+ use Model._reprstring(long=True) for model Model.__repr__().
+ restore best-fit parameter values for high accuracy values of constrained
values
+ improvement to Model for the difference between Parameter, "independent
variable", and "option".
+ better saving/loading saved states of Model now use dill, have several
cleanups, and are now versioned for future-proofing.
+ fix bug calculating r-squared for fits with weights
+ fix bug in modelresult.eval_uncertainty() after load_modelresult()
+ add test for MinimizerResult.uvars after successful fit
* Maintenance/Deprecations:
+ drop support for Python 3.7
+ fix tests for Python 3.12 and Python 3.13-dev
+ increase minimum numpy verstio to 1.23 and scipy to 1.8.
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-lmfit?expand=0&rev=11
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| .gitattributes | ||
| .gitignore | ||
| lmfit-1.2.2.tar.gz | ||
| lmfit-1.3.1.tar.gz | ||
| python-lmfit.changes | ||
| python-lmfit.spec | ||
| support-numpy-2.patch | ||