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pyPESTO v0.2.15
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@PaulJonasJost PaulJonasJost released this 21 Dec 10:39
· 354 commits to main since this release
v0.2.15
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  • Optimize:
    • Add an Enhanced Scatter Search optimizer (#941, #972)
    • Cooperative enhanced scatter search (#954)
    • Hierarchical optimization (#952, #975 )
    • Allow scipy optimizer to use fun with integrated grad (#979)
  • Sampling:
    • Remove fixed parameters from pymc sampling (#951)
    • emcee sampler: initialize walkers near optimum (#961)
    • dynesty Sampler (#963)
    • Fix pymc>=5 aesara/pytensor issues (#983)
  • Visualization:
    • Multi-result waterfall plot (#966)
    • Model fit visualization: use problem.objective to simulate, instead of AMICI directly (#969)
    • Unfix matplotlib version (#977)
    • Plot measurements in sampling_prediction_trajectories (#976)
  • Objective definition:
    • Support for jax objectives (#986)
  • General
    • Fix license_file SetuptoolsDeprecationWarning (#965)
    • Remove benchmark-models-petab requirement (#964)
    • Github Actions(#958, #989 )
    • Fix typehint for problem.x_priors_defs (#962)
    • Fix tox4-related issues (#981)
    • Fix AMICI deprecation warning (#956)
    • Add pypesto.visualize.model_fit to API doc (#991)
    • Exclude numpy==1.24.0 (#993)
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