1.0.2
Version 1.0.2 officially supports Python 3.9 and has dropped support for Python 3.5. The minimum version
of the following dependencies were updated: asteval>=0.9.21, numpy>=1.18, and scipy>=1.3.
New features:
- added two-dimensional Gaussian lineshape and model (PR #642; @mpmdean)
- all built-in models are now registered in
lmfit.models.lmfit_models
; new Model class attributevalid_forms
(PR #663; @rayosborn) - added a SineModel (PR #676; @lneuhaus)
- add the
run_mcmc_kwargs argument
toMinimizer.emcee
to pass to theemcee.EnsembleSampler.run_mcmc
function (PR #694; @rbnvrw)
Bug fixes:
ModelResult.eval_uncertainty
should use provided Parameters (PR #646)- center in lognormal model can be negative (Issue #644, PR #645; @YoshieraHuang)
- restore best-fit values after calculation of covariance matrix (Issue #655, PR #657)
- add helper-function
not_zero
to prevent ZeroDivisionError in lineshapes and use in exponential lineshape (Issue #631, PR #664; @s-weigand) - save
last_internal_values
and use to restore internal values if fit is aborted (PR #667) - dumping a fit using the
lbfgsb
method now works, convert bytes to string if needed (Issue #677, PR #678; @leonfoks) - fix use of callable Jacobian for scalar methods (PR #681; @mstimberg)
- preserve float/int types when encoding for JSON (PR #696; @jedzill4)
- better support for saving/loading of ExpressionModels and assure that
init_params
andinit_fit
are set when loading aModelResult
(PR #706)
Various:
- update minimum dependencies (PRs #688, #693)
- improvements in coding style, docstrings, CI, and test coverage (PRs #647, #649, #650, #653, #654; #685, #668, #689)
- fix typo in Oscillator (PR #658; @flothesof)
- add example using SymPy (PR #662)
- allow better custom pool for emcee() (Issue #666, PR #667)
- update NIST Strd reference functions and tests (PR #670)
- make building of documentation cross-platform (PR #673; @s-weigand)
- relax module name check in
test_check_ast_errors
for Python 3.9 (Issue #674, PR #675; @mwhudson) - fix/update layout of documentation, now uses the sphinx13 theme (PR #687)
- fixed DeprecationWarnings reported by NumPy v1.2.0 (PR #699)
- increase value of
tiny
and check for it in bounded parameters to avoid "parameter not moving from initial value" (Issue #700, PR #701) - add
max_nfev
tobasinhopping
andbrute
(now supported everywhere in lmfit) and set to more uniform default values (PR #701) - use Azure Pipelines for CI, drop Travis (PRs #696 and #702)