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Wragged output methods
Implements SubProblem and ProblemCollection methods which collectively allow:
- problems to be constructed where different outputs are measured at different times
- separate subproblems to be created for different subsets of outputs (and, accordingly, for inference, given different score functions or log-likelihoods)
- caching of simulation outputs between evaluations for the same parameter set
Codecov Report
Merging #1405 (d68edbb) into master (d64eb05) will not change coverage. The diff coverage is
100.00%.
@@ Coverage Diff @@
## master #1405 +/- ##
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Coverage 100.00% 100.00%
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Files 87 87
Lines 8889 9018 +129
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+ Hits 8889 9018 +129
| Impacted Files | Coverage Δ | |
|---|---|---|
| pints/__init__.py | 100.00% <100.00%> (ø) |
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| pints/_core.py | 100.00% <100.00%> (ø) |
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| pints/_optimisers/_pso.py | 100.00% <0.00%> (ø) |
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| pints/_optimisers/_snes.py | 100.00% <0.00%> (ø) |
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| pints/_optimisers/_xnes.py | 100.00% <0.00%> (ø) |
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| pints/_optimisers/_cmaes.py | 100.00% <0.00%> (ø) |
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| pints/_optimisers/__init__.py | 100.00% <0.00%> (ø) |
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| pints/_optimisers/_cmaes_bare.py | 100.00% <0.00%> (ø) |
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| pints/_optimisers/_nelder_mead.py | 100.00% <0.00%> (ø) |
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@MichaelClerx would you be able to take a look here if you get a moment?
I'll try to look before too long. Are there no PKPD modellers who could have a look in the meantime?
Thanks! @martinjrobins -- if you had a spare few mins, it would be good to see what you thought about this.