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1.2.0rc1: Merge pull request #858 from lmfit/v120_rc1

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@newville newville released this 04 Apr 03:24
· 149 commits to master since this release
1.2.0rc1
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Version 1.2.0rc1 Release Notes (April 03, 2023)

New features:

  • add create_params function (PR #844)
  • add chi2_out and nsigma options to conf_interval2d()
  • add ModelResult.summary() to return many resulting fit statistics and attributes into a JSON-able dict.
  • add correl_table() function to lmfit.printfuncs and correl_mode option to fit_report() and
    ModelResult.fit_report() to optionally display a RST-formatted table of a correlation matrix.

Bug fixes/enhancements:

  • fix bug in reported uncertainties for constrained parameters by better propating uncertainties (Issue #855; PR #856)
  • Coercing of user input data and independent data for Model to float64 ndarrays is somewhat less aggressive and
    will not increase the precision of numpy ndarrays (see :ref:model_data_coercion_section for details). The resulting
    calculation from a model or objective function is more aggressively coerced to float64. (Issue #850; PR #853)
  • the default value of epsfcn is increased to 1.e-10 to allow for handling of data with precision less than float64
    (Issue #850; PR #853)
  • fix conf_interval2d to use "increase chi-square by sigma**2*reduced chi-square" to give the sigma-level
    probabilities (Issue #848; PR #852)
  • fix reading of older ModelResult (Issue #845; included in PR #844)
  • fix deepcopy of Parameters and user data (mguhyo; PR #837)
  • improve Model.make_params and create_params to take optional dict of Parameter attributes (PR #844)
  • fix reporting of nfev from least_squares to better reflect actual number of function calls (Issue #842; PR #844)
  • fix bug in Model.eval when mixing parameters and keyword arguments (PR #844, #839)
  • re-adds residual to saved Model result (PR #844, #830)
  • ConstantModel and ComplexConstantModel will return an ndarray of the same shape as the independent variable
    x (JeppeKlitgaard, Issue #840; PR #841)
  • update tests for latest versions of NumPy and SciPy.
  • many fixes of doc typos and updates of dependencies, pre-commit hooks, and CI.
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