[breaking] v0.42 #2702
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[breaking] v0.42 #2702
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Turing.jl documentation for PR #2702 is available at: |
Codecov Report❌ Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## main #2702 +/- ##
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+ Coverage 86.45% 86.52% +0.06%
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Files 21 21
Lines 1418 1410 -8
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- Hits 1226 1220 -6
+ Misses 192 190 -2 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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Following on from: - TuringLang/AbstractMCMC.jl#182 Adding the interface function `AbstractMCMC.getstats` - TuringLang/AdvancedHMC.jl#471 and TuringLang/AdvancedMH.jl#119 Implementing them for AdvancedHMC and AdvancedMH this PR changes Turing's external sampler interface to exclusively use AbstractMCMC functions. **With this PR, anyone who defines an external sampler will only need to depend on AbstractMCMC (which they presumably already do, because it is a sampler) and LogDensityProblems (which is already a dep of AbstractMCMC).** No need for a Turing extension. To be precise, it makes the following changes: - Previously where one had to define `Turing.Inference.getparams`, now one has to define `AbstractMCMC.getparams`. - Previously there was no way to include sampler stats in the resulting chain, now one can define `AbstractMCMC.getstats`. - The default for `Turing.Inference.isgibbscomponent` is changed to `true`, so that external sampler packages don't need to override it (unless absolutely necessary). As an example implementation, this PR contains a test mock (note how it doesn't require a Turing dep): https://github.com/TuringLang/Turing.jl/blob/06752c41a97cd0dc37bb8700ab7a2d06f50f4f76/test/mcmc/external_sampler.jl#L20-L74
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A PR to accumulate breaking changes, to be released as v0.42.