Comments (6)
@elbaraim it appears that this is a problem of auto-calculated burn-in, in case the entire array is found to be burn-in. I guess in this case an appropriate error should be thrown, and the test adjusted.
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confirmed, ~4% fail rate
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Also at https://github.com/ICB-DCM/pyPESTO/runs/7650416076?check_suite_focus=true
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..., and the test adjusted.
@yannikschaelte For the second part, what would you have in mind? Just for the sake of testing the visualization function to, e.g. fix the burn-in index to a given value?
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ok it can ofc happen that geweke says end of chain. if this test is just about running some tests that do not rely on the geweke being some actually reasonable number, then I agree you can just fix it here to some intermediate index.
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Still happening... https://github.com/ICB-DCM/pyPESTO/actions/runs/3280972663/jobs/5402409945
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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 2
- 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
- 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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