Version 0.20 (Expected 28th of February 2022)#
New Features / Enhancements#
The model fit report now includes a warnings section. This includes warnings when the optimization is not successful, when parameters hit bounds or when the length of the response function exceeds the length of the calibration period.
The release of Scipy 1.8 has solved a potential issue with small parameter values during optimization. This means ps.Leastsquares is preferred solver in most situations. The WellModel will no longer warn the user to use ps.LmFitSolve if scipy>=1.8.
Deprecations#
The warnbounds argument in ml.fit_report() is deprecated. Replaced with argument warnings.