Published March 17, 2021
| Version v0.2.4
Software
Open
ICB-DCM/pyPESTO: pyPESTO 0.2.4
Creators
- 1. Helmholtz Munich + TUM
- 2. Harvard Medical School
- 3. ICB, Helmholtz Center Munich
- 4. IRU Biomathematics @ Uni Bonn
- 5. @ICB-DCM @ICBmunich
- 6. Helmholtz Center Munich, TUM
Description
Ensembles/Sampling:
- General ensemble analysis, visualization, storage (#557, #565, #568)
- Calculate and plot MCMC parameter and prediction CIs via ensemble definition, parallelize ensemble predictions (#490)
Optimization:
- New optimizer: SciPy Differential Evolution (#543)
- Set fides default to hybrid (#578)
AMICI:
- Make
guess_steadystateless restrictive (#561) and have a more intuitive default behavior (#562, #582) - Customize time points (#490)
- Make
Storage:
- Save HDF5 history with SingleCoreEngine (#564)
- Add read/write function for whole results (#589)
Engines:
- MPI based distributed parallelization (#542)
Visualization:
- Speed up waterfall plots by resizing scales only once (#577)
- Change waterfall default offset to 1 - minimum (#593)
CI:
- Move GHA CI tests to pull request level for better cooperability (#574)
- Streamline test environments using tox and pre-commit hooks (#579)
- Test profile and sampling storage (#585)
- Update for Ubuntu 20.04, add rerun on failure (#587)
Minor fixes (release notes #558, nlop tests #559, close files #495, visualization #554, deployment #560, flakiness #570, aggregated deepcopy #572, respect user-provided offsets #576, update to SWIG 4 #591, check overwrite in profile writing #566)
Files
ICB-DCM/pyPESTO-v0.2.4.zip
Files
(3.9 MB)
| Name | Size | Download all |
|---|---|---|
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md5:483287cd0de8592717e381dcf6cd3fe9
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Additional details
Related works
- Is supplement to
- https://github.com/ICB-DCM/pyPESTO/tree/v0.2.4 (URL)