This release provides a few small but important changes compared to 0.9.8: asteval is now required as a separate install -- a copy is no longer included in lmfit. This makes it easier for asteval developments to happen independently from lmfit. the formatting of floating point numbers in the fit report is now better, fixing at least one bug where the values reported were truncated and incorrect. prefixes of Model components can be changed after the model is created. saving models and modelresults can now include user-specified data (as long as it can be converted to json!)
Version 1.0.3 Release Notes (October 14, 2021) Potentially breaking change: argument x is now requi...
Version 1.0.0 supports Python 3.5, 3.6, 3.7, and 3.8 New features: no new features are introduced i...
Version 1.2.2 Release Notes (July 14, 2023) New features: add ModelResult.uvars output to a ModelRe...
Major Changes for 0.9.10: add AMPGO and basin-hopping global optimization methods. aborting a fit f...
Version 1.0.2 officially supports Python 3.9 and has dropped support for Python 3.5. The minimum ver...
Version 0.9.15 is the last release that supports Python 2.7; it now also fully suports Python 3.8. N...
Version 1.1.0 Release Notes (November 27, 2022) Supported Python Versions: 3.7, 3.8, 3.9, 3.10, 3.11...
Version 1.0.2 officially supports Python 3.9 and has dropped support for Python 3.5. The minimum ver...
version 0.9.15rc1 Version 0.9.15 is the last release that supports Python 2.7; it now also fully sup...
Partial release notes for lmfit 0.9.6: Support for SciPy 0.14 has been dropped: SciPy 0.15 is now r...
New features: add create_params function (PR #844) add chi2_out and nsigma options to conf_interval...
Version 1.2.0rc1 Release Notes (April 03, 2023) New features: add create_params function (PR #844) ...
Version 1.0.4rc1 New features: add calculation of dely for model components of composite models (I...
Version 1.2.2 Release Notes (July 14, 2023) New features: add ModelResult.uvars output to a ModelRe...
New features: the global optimizers shgo and dual_annealing (new in SciPy v1.2) are now supported (...
Version 1.0.3 Release Notes (October 14, 2021) Potentially breaking change: argument x is now requi...
Version 1.0.0 supports Python 3.5, 3.6, 3.7, and 3.8 New features: no new features are introduced i...
Version 1.2.2 Release Notes (July 14, 2023) New features: add ModelResult.uvars output to a ModelRe...
Major Changes for 0.9.10: add AMPGO and basin-hopping global optimization methods. aborting a fit f...
Version 1.0.2 officially supports Python 3.9 and has dropped support for Python 3.5. The minimum ver...
Version 0.9.15 is the last release that supports Python 2.7; it now also fully suports Python 3.8. N...
Version 1.1.0 Release Notes (November 27, 2022) Supported Python Versions: 3.7, 3.8, 3.9, 3.10, 3.11...
Version 1.0.2 officially supports Python 3.9 and has dropped support for Python 3.5. The minimum ver...
version 0.9.15rc1 Version 0.9.15 is the last release that supports Python 2.7; it now also fully sup...
Partial release notes for lmfit 0.9.6: Support for SciPy 0.14 has been dropped: SciPy 0.15 is now r...
New features: add create_params function (PR #844) add chi2_out and nsigma options to conf_interval...
Version 1.2.0rc1 Release Notes (April 03, 2023) New features: add create_params function (PR #844) ...
Version 1.0.4rc1 New features: add calculation of dely for model components of composite models (I...
Version 1.2.2 Release Notes (July 14, 2023) New features: add ModelResult.uvars output to a ModelRe...
New features: the global optimizers shgo and dual_annealing (new in SciPy v1.2) are now supported (...
Version 1.0.3 Release Notes (October 14, 2021) Potentially breaking change: argument x is now requi...
Version 1.0.0 supports Python 3.5, 3.6, 3.7, and 3.8 New features: no new features are introduced i...
Version 1.2.2 Release Notes (July 14, 2023) New features: add ModelResult.uvars output to a ModelRe...