pyPESTO v0.5.2

• New Feature: Variational inference with PyMC (#1306)
• PEtab
  • Import of petab independent of amici (#1355)
• Problem
  • Added option to sample startpoints for a problem, from the problem directly. (#1364)
  • More detailed defaults for problem.get_full_vector (#1393)
  • Save pypesto and python version to the problem. (#1382)
• Objective
  • Fix calling priors in sampling with fixed parameters (#1378)
  • Fix JaxObjective (#1400)
• Optimize
  • ESS optimizers: suppress divide-by-zero warnings; report n_eval (#1380)
  • SacessOptimizer: collect worker stats (#1381)
  • Add load method to Hdf5AmiciHistory (#1370)
• Hierarchical
  • Relative: fix log of zero for default 0 sigma values (#1377)
• Sample
  • Fix pypesto.sample.geweke_test.spectrum for nfft<=3 (#1388)
• Visualize
  • Handle correlation plot with nans (#1365)
• General
  • Remove scipy requirement from pypesto[pymc] (#1376)
  • Require and test python >=3.10 according to NEP 29 (#1379)
  • Fix various warnings (#1384)
  • Small changes to GHA actions and tests (#1386, #1387, #1402, #1385)
  • Improve Documentation (#1394, #1391, #1399, #1292, #1390)