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Published March 8, 2021 | Version 0.2.7
Software Open

pyPESTO - Parameter EStimation TOolbox for python

Authors/Creators

Description

  • Model selection (#397):

    • Automated model selection with forward/backward/brute force methods and AIC/AICc/BIC criteria
    • Much functionality (methods, criteria, model space, problem specification) via PEtab Select <https://github.com/PEtab-dev/petab_select>
    • Plotting routines
    • Example notebook <https://github.com/ICB-DCM/pyPESTO/blob/main/doc/example/model_selection.ipynb>
    • Model calibration postprocessors
    • Select first model that improves on predecessor model
    • Use previous MLE as startpoint
    • Tests

  • AMICI:

    • Maintain model settings when pickling for multiprocessing (#747)

  • General:

    • Apply nbqa black and isort to auto-format all notebooks via pre-commit hook (#794)
    • Apply black formatting via pre-commit hook (#796)
    • Require Python >= 3.8 (#795)
    • Fix various warnings (#778)
    • Minor fixes (#792)

Files

ICB-DCM/pyPESTO-v0.2.11.zip

Files (4.5 MB)

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md5:48b76ff91abd1d655367adf0b39a8fe5
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Additional details

Related works

Is supplement to
https://github.com/ICB-DCM/pyPESTO/tree/v0.2.11 (URL)