pyPESTO v0.5.8

• Optimization
  • Unified interface for x0 parameter (#1654)
  • Unified interface for maxiter and maxeval parameters (#1648)
  • Unified interface for time limits across optimizers (#1638)
  • Make DlibOptimizer solver_epsilon configurable (#1637)
  • Verbosity for CMA optimizer, producing no more outputfiles per default (#1656)
  • Fix startpoint selection and neval in scatter search (#1644)
• Visualize
  • Fix waterfall axis bug (#1640)
• Ensemble
  • Fix Plotting uf UMAP and PCA (#1628)
• Store
  • Updated HDF5 loading (#1636)
• Sampling
  • Add support for sampling parameter values from prior distributions (#1622)
• Documentation
  • Reintroduce pymc to documentation (#1643)

pyPESTO v0.5.7

• General
  • Require Python >=3.11 (#1585)
• Documentation
  • Updated references and citations (#1601, #1609, #1612)
  • Various minor Documentation and Example fixes
• Optimization
  • update scipy interface (#1588)
• Ensemble
  • accurate cutoff based on chi2 distribution (#1566)
• History
  • Add monotonic_history from mutliple histories (#1632)
• Profiling
  • split ProfilerTask into descending and ascending parts (#1598)
  • Profiles nested CIs (#1584)
• Visualize
  • Fix IndexError in waterfall for all-non-finite values (#1600)
  • prettier intervals for profiles by using capstyle (#1607)
  • Improve waterfall plot efficiency (#1608)
  • remove unnecessary title and axes labels (#1589)
  • Nicer pypesto.visualize.profile_cis interval markers (#1626)
  • Allow to define colors more flexibly (#1627)
  • Prevent invisible plot due to large cluster number in waterfall plot (#1631)
• Objective
  • Updated roadrunner steady state computation (#1604)

pyPESTO v0.5.6

• General
  • GHA and CI improvements (#1560, #1554, #1571, #1573, #1577)
  • Documentation improvement (#1557, #1479, #1539, #1551)
  • Fix compatibility with jax 0.6.0 (#1580)
• Optimization
  • SacessOptimizer: Minor updates (#1564)
  • Fix SacessOptimizer relative fval improvement check (#1558)
  • Add Ipopt factory for use with SacessOptimizer (#1533)
  • Make CmaOptimizer respect wall time limits and max evals under SacessOptimizer (#1555)
  • Make print parameter summary nicer (#1549)
• Select
  • Fix model hash typing issue (#1548)
• Store
  • Speed up read_hdf5_optimization (#1570, #1556)

pyPESTO v0.5.5

• Breaking Changes

  • PETab select: There are some deprecated features that will show up as warnings. In addition:

    • The plotting methods ignore some arguments. You will need to reimplement these with the newer approach, which uses
      plotting methods from the PEtab Select library instead. See the model selection notebook for examples.

    • All objects containing multiple models (e.g., dictionaries or lists) are now replaced by petab_select.Models,
      which supports dictionary and list methods.

      To convert your old list of models:

      petab_select.Models(list_of_Model)

• General
  • Exclude nlopt==2.9.0 from setup (#1519)
  • Improve CI (#1521, #1523, #1532, #1536, #1508, #1544, #1531)
  • Update references/documentation (#1506, #1491, #1516, #1543)
  • Docker Image (#1083, #1538)
• Hierarchical
  • Fix no error if inner observable parameter in noise formula & viceversa (#1504)
  • Remove inner datas from relative calculator (#1505)
  • Fix not scaling inner pars when applying to rdatas (#1534)
• Optimization
  • ESSOptimizer: Fix priority for local search startpoints (#1503)
  • Fix NLoptOptimizer.repr (#1518)
  • Improve exception-handling in SacessOptimizer (#1517)
  • Fix ESSOptimizer min of empty sequence (#1510)
  • Don't modify sys.path for amici model imports (#1522)
  • Set OptimizerResult.optimizer in Optimizer.minimize (#1525)
  • SacessOptimizer: More efficient saving of intermediate results (#1529)
• Objective
  • AmiciObjective/PEtab import: Fix plist (#1493)
  • PEtab: Fix warning from fill_in_parameters with fixed parameters (#1509)
  • Amici: Fix handling of PEtab fixed parameters (#1514)
  • Fix get_parameter_prior_dict docstring (#1537)
• Select
  • Support user-provided calibration results (#1338)
  • Problem-specific minimize method for SaCeSS (#1339)
  • Update for the latest PEtab Select version; see example notebook or the PEtab Select repo (#1530)
• Storage
  • Enable writing Optimize(r)Result directly in Writer (#1528)
  • Update parameter scale storage (#1542
• Visualize
  • Fix flatten of observable mapping with one observable (#1515)

pyPESTO v0.5.4

• Breaking Changes
  • Remove Aesara support (#1453, #1455)
• General
  • CI improvements (#1436, #1437, #1438, #1439, #1440, #1443, #1473, #1484, #1486, #1490, #1485)
  • Update references/documentation (#1404, #1456, #1474, #1479, #1483, #1470, #1498)
• Profile
  • Improve Profiling Code (#1447)
• Visualize
  • allow log and/or linear scale for visualization (#1435)
  • More informative error message for start indices. (#1472)
• Optimization
  • SacessOptimizer: Fix acceptance threshold for objective improvement (#1457)
  • SacessOptimizer: expose more hyperparameters + minor fixes (#1459, #1476)
  • SacessOptimizer, ESSOptimizer: Bound-normalize parameters for proximity check (#1462)
  • ESSOptimizer: Fix bug in recombination and go-beyond (#1477, #1480)
• Objective
  • FD-objective correctly working with fixed parameters (#1446)
  • Petab Importer reforge (#1442, #1502)
  • Use cloudpickle for serializing NegLogParameterPriors (#1467)
  • Update PEtab.jl integration to match version 3.X (#1489)
• Sampling
  • Bayes Factor Tutorial (#1444)
• Ensemble
  • Added HPD calculation to ensemble (#1431)

pyPESTO v0.5.3

• General
  • Notebook on history usage and comparison of multiple results. (#1389)
  • GHA/test improvements (#1423, #1408, #1430)
  • Numpy 2.0 compatibility (#1420, #1433)
• PEtab
  • Issue a warning if a fixed parameter has a prior defined (#1413)
  • Update to libpetab 0.4.0 (#1422)
• Optimize
  • Added a Result object with lazy hdf5 loading (#1421)
• RoadRunner
  • Roadrunner handling of petab issue 0019 (#1419)
  • Disentangle amici and roadrunner (#1429)
• Amici
  • Require return_dict in ObjectiveBase.call_unprocessed (fixes AMICI posterior RData) (#1424)
• Hierarchical
  • Visualize: visualization of estimated observable mapping (#1409)
  • Hierarchical: avoid recomputing inner parameters if simulation failed (#1426)
• Visualization
  • Fixing Aggregated Objective Visualisations (#1411)

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)

pyPESTO v0.5.1

Re-release to fix pypi issues.

pyPESTO v0.5.0

• General
  • Include pymc in the documentation. (#1305)
  • Ruff Codechecks (#1307)
  • Support RoadRunner as simulator for PEtab problems (#1336, #1347, #1348, #1363)
• Hierarchical
  • Semiquant: Fix spline knot initialization (#1313, #1323)
  • Semiquant: Add spline knots to the optimization result (#1314)
  • Semiquant: fix inner opt tolerance (#1330)
  • Relative: Fix return of relative calculator if sim fails (#1315)
  • Relative: Hierarchical optimization: fix unnecessary simulation (#1327)
  • Relative: Fix return of inner parameters on objective call (#1333)
• Optimize
  • Support ipopt with gradient approximation (#1310)
  • Deprecate CmaesOptimizer in favor of CmaOptimizer (#1311)
  • ESSOptimizer: Respect local_n2 in case of failed initial local search (#1328)
  • Remove CESSOptimizer (#1320)
  • SacessOptimizer: use 'spawn' start method for multiprocessing (#1353)
• PEtab
  • Fix unwanted amici model recompilation in PEtab importer (#1319)
• Sample
  • Adding Thermodynamic Integration (#1326, #1361)
  • Dynesty warnings added (#1324)
  • Dynesty: method to save raw results (#1331)
• Ensembles
  • Ensembles: don't expect OptimizerResult.id to be convertible to int (#1351)
• Misc
  • Updated Code to match dependency updates (#1316, #1344, #1346, #1345)
  • Ignore code formatting in git blame (#1317)
  • Updated deployment method (#1341, #1371, #1373)
  • add pyupgrade to codechecks (#1352)
  • Temporarily require scipy<1.13.0 for pypesto[pymc] (#1360)

pyPESTO v0.4.2

• General
  • Stabilize tests (#1240, #1254)
  • Update type annotations and documentations (#1239, #1248, #1255, #1258, #1251, #1268, #1275)
  • GHA/Codeowner changes (#1260, #1261, #1259, #1262, #1285)
  • Update utility functions (#1243)
  • Refactor progress bars (#1272)
  • Clear Notebook output(#1246, #1277, #1274, #1271, #1276, #1278,)
• Optimize
  • (Sac)ESSOptimizer: History of best objective values (#1212)
  • Fix missing fixed parameters in scatter search results (#1265)
  • Fix TypeError in pypesto.result.optimize.OptimizerResult.summary if x0 is None (#1266)
  • ESSOptimizer: Include results for local searches in OptimizeResult (#1270)
• New Feature: Spline Approximation (#1222)
• Select
  • Allow for hierarchical problems (#1241)
  • custom minimize method (#1264)
• Hierarchical
  • Log space startpoint sampling (#1242)
  • Support for box constraints on offset and scaling parameters (#1238)
  • restructuring and add relative to InnerCalculatorCollector (#1245)
• History
  • Support pathlib.Path for result/history files (#1247)
  • Extended Amici history (#1263)
• Visualize
  • Fix time trajectories for hierarchical problems (#1213)
  • Fix hierarchical parameter plotting for all optimizers (#1244)
  • Sacess history plot (#1250)
• Objective
  • Fix PEtab.jl version to before 2.5.0 (temporarily) (#1256)
• PEtab
  • Enable Importer passing verbose to create_model (#1269)
  • PetabImporter: version-specific amici model directories (#1283)
• Problem
  • Problem: add inner problem names, bounds and hierarchical flag (#1282)
  • Use warnings.warn instead of logging.warn when loading Problem from HDF5 without an Objective (#1253)
• Ensemble
  • EnsemblePrediction: remove "no predictor" warning (#1293)