TuringLang
Reenable PriorContext for Optimization
This PR reenables the support for PriorContext in optimization, which was disabled by #2022. While it is not directly supported by the current optim_problem() interface (only MLE/MAP are supported, although adding MaxPrior is possible), I think it is useful to support PriorContext for Turing.OptimLogDensity(). In my code I use it for multi-objective Pareto optimization (prior + llh).
This PR reenables the support for PriorContext in optimization, which was disabled by #2022.
AFAICT support for PriorContext has never existed and has never been tested. The check in the PR was only introduced to communicate this more clearly and provide a better error message.
AFAICT support for PriorContext has never existed and has never been tested.
I see. It was working before though. Do you think it makes sense to support it for some of the user use cases?
IMO if we 're allowing both DefaultContext and LikelihoodContext, I feel like allowing PriorContext also seems reasonable (i.e. all the leaf-contexts).
Would be happy to include this:) But we need to fix the merge conflicts :confused:
Pull Request Test Coverage Report for Build 9384233247
Details
- 0 of 5 (0.0%) changed or added relevant lines in 1 file are covered.
- 89 unchanged lines in 1 file lost coverage.
- Overall coverage remained the same at 0.0%
| Changes Missing Coverage | Covered Lines | Changed/Added Lines | % |
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| src/optimisation/Optimisation.jl | 0 | 5 | 0.0% |
| <!-- | Total: | 0 | 5 |
| Files with Coverage Reduction | New Missed Lines | % |
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| src/optimisation/Optimisation.jl | 89 | 0.0% |
| <!-- | Total: | 89 |
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| Change from base Build 9374257750: | 0.0% |
| Covered Lines: | 0 |
| Relevant Lines: | 1503 |
