Releases: AMICI-dev/AMICI
Releases · AMICI-dev/AMICI
AMICI v0.7.9
- fixes MATLAB compilation of models
- adds option to perform steady state sensitivity analysis via FSA
- condition dependent intitial conditions are now newly set after preequilibration is done
AMICI v0.7.8
- bugfixes for the ExpData interface
- created build configuration that enables debugging of c++ extensions on os x
- fixed python sbml import when stoichiometry is empty
AMICI v0.7.7
Fixes a couple of bugs just introduced in v0.7.6
AMICI v0.7.6
Important: Use AMICI v0.7.7 due to 3a495d3
Bug fixes:
- Python import: Fix log10 issues in observables (#382)
- Matlab: Fix broken model compilation (#392)
- Fixed simulation for models without observables (#390)
- Fixed potential matlab memory leaks (#392)
Breaking C++ API changes:
- Revised ExpData interface (#388)
AMICI v0.7.5
AMICI v0.7.4
Features/enhancements:
- Check SBML model validity (#343)
- Allow per-parameter setting of amioptions::pscale from matlab interface (#350)
- Documentation
Major fixes:
- Don't compile main.cpp into python model module which broke modules if amici was compiled without libhdf5 (#363)
Minor fixes:
- Fix compiler warnings (#353)
- Plotting, SBML example mode, ...
AMICI v0.7.3
Features:
- Added symbol names to python-wrapped models and make available via Model.getParameterNames(), model.getStateNames(), ...
- Extended Python interface example
Python package available via pypi: https://pypi.org/project/amici/0.7.3/
AMICI v0.7.2
Features:
- Python package: more flexible HDF5 library localization
- Extended CI: python tests, preequilibration tests, run in venv
Major bugfixes:
- Fix python sbml model import / compilation error (undefined function)
- Fix model preequilibration
Minor fixes:
- Various fixes for mingw compilation of python source distribution
- Cmake compatibility with < 3.8 restored
AMICI v0.7.1
Features:
- Allow specifying sigma-parameters from Python interface
Major bugfixes:
- Fix dsigma_y/dp and downstream sensitivity errors
AMICI v0.7.0
- Major revision of documentation
- Improved Python interface
- More comprehensive Python interface example
- Fixed sensitivity computation in Python-generated models
- Various other bug fixes
WARNING:
- For models with sigma-parameters and dsigma_y/dp != 0, dsigma_y/dp was computed incorrectly. This propagates to all dependent sensitivities. This applies also to some older releases and has been fixed in v0.7.1.