* Implement multi process parallelization engine for optimization. * Introduce PrePostProcessor to more reliably handle pre- and post-processing. * Fix problems with simulating for multiple conditions. * Add more visualization routines and options for those (colors, reference points, plotting of lists of result obejcts)
0.0.3
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* Import amici models and the petab data format automatically using pypesto.PetabImporter. * Basic profiling routines.
0.0.2
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* Fix parameter values * Record trace of function values * Amici objective to directly handle amici models
0.0.1
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* Basic framework and implementation of the optimization