Comments (2)
also, the sbml test does not pass every time, bc sometimes some of the optimizers have 0/25 convergence, probably depending on the starting points.
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sounds, good. I already implemented optimizer tests for the rosenbrock example in #26, will remove some of the sbml_conversion tests
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Related Issues (20)
- Reading ensemble_predictions from hd5f fails if summary was saved
- Software using pymc HOT 2
- Flaky test `test_pipeline[Metropolis-rosenbrock]` HOT 1
- `ReturnDataReportingMode` not handled correctly for `AggregatedObjective` HOT 9
- fval is not saved in hdf5 file in multistart optimization HOT 2
- Problems with startpoint method HOT 2
- SciPy optimizer does redundant function evaluations e.g. for AMICI objectives HOT 1
- Pypesto Optimization ignores bounds HOT 6
- `ScipyDifferentialEvolutionOptimizer` appears to load the AMICI model many times HOT 4
- Deprecation for `get_for_key` notice suggests code that will error. HOT 2
- Flaky test `test/sample/test_sample.py::test_samples_cis` HOT 8
- Python version support policy HOT 1
- Remove chi2, schi2 from history HOT 4
- Failure to load HDF5 history from write-protected files
- AMICI expects rdata not dict HOT 5
- pymc sampler appears to not sample correctly HOT 1
- pypesto import is slow HOT 13
- Q: Remove theano? HOT 1
- Issue using MultiProcess engine HOT 2
- Plenty of GitHub Actions warnings
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