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pyPESTO v0.8.0 - #1805
pyPESTO v0.8.0#1805
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Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## main #1805 +/- ##
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- Coverage 87.05% 87.02% -0.03%
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Files 160 160
Lines 14383 14383
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- Hits 12521 12517 -4
- Misses 1862 1866 +4 ☔ View full report in Codecov by Harness. 🚀 New features to boost your workflow:
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Doresic
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Looks good! just a couple of adjustments
| - ``parameter_scales`` argument for log-scale estimation (#1782) | ||
| - Hierarchical optimization | ||
| - Fix wrong results for observables with constant offset terms (#1786) | ||
| - Respect noise models of data without inner parameters (#1778, #1779) |
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I would rename this, it's more that it rejects non-normal noise models for observables with inner parameters (previously silently accepted them)
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| - Breaking changes | ||
| - Remove deprecated ``PetabImporterRR``; use ``PetabImporter(..., simulator_type="roadrunner")`` (#1793) | ||
| - Raise minimum versions of numpy, scipy, pandas, matplotlib, amici (>=1.2) and other optional extras (#1797) |
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add "requires Python>=3.12”?
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we had this already in the previous release, it was just never enforced.
CHANGELOG
PetabImporterRR; usePetabImporter(..., simulator_type="roadrunner")(Remove the deprecated PetabImporterRR #1793)parameter_scalesargument for log-scale estimation (Support parameter scales for PEtab v2 problems #1782)NumericalInnerSolverstopping early for small sigmas (Optimize inner sigmas on log scale in NumericalInnerSolver #1788)inplacekeyword (pandas 3.1) #1798, Fix CI with amici 1.2.0 and petab 0.10.0 #1804, Fix IndexError when mixing user and automatic reference point colors #1759, Fix spurious pairing errors in hierarchical validation on pandas 3 #1768)