Turing.jl Versions Save

Turing v0.30.7

Diff since v0.30.6

Turing v0.30.6

Diff since v0.30.5

Merged pull requests:

• Partial fix for #2095 (#2096) (@torfjelde)
• Fix error TuringOptimExt.jl with information matrix/vcov (#2167) (@smith-garrett)
• Disable CI sampling progress logging (#2176) (@sunxd3)

Closed issues:

• method definition warning when trying tutorial no.2 'Unsupervised Learning using Bayesian Mixture Models' (#2173)
• autodiff documentation outdated (#2177)

Turing v0.30.5

Diff since v0.30.4

• essential/ad.jl is removed, ForwardDiff and ReverseDiff integrations via LogDensityProblemsAD are moved to DynamicPPL and live in corresponding package extensions.
• LogDensityProblemsAD.ADgradient(ℓ::DynamicPPL.LogDensityFunction) (i.e. the single argument method) is moved to Inference module. It will create ADgradient using the adtype information stored in context field of ℓ.
• getADbackend function is renamed to getADType, the interface is preserved, but packages that previously used getADbackend should be updated to use getADType.
• TuringTag for ForwardDiff is also removed, now DynamicPPLTag is defined in DynamicPPL package and should serve the same purpose.

Merged pull requests:

• Move ad.jl to DynamicPPL (#2158) (@sunxd3)
• Change Optimization kwarg autoad to adtype (#2168) (@ElOceanografo)
• Add accepted arg to AdvancedMH.Transition calls (#2172) (@sunxd3)

Turing v0.30.4

Diff since v0.30.3

Merged pull requests:

• Prior should use PriorContext (#2170) (@torfjelde)

Closed issues:

• ArgumentError: Union{} does not have elements when trying to run a state space model (#2151)
• Problems with Cholesky in MvNormal using a g prior (#2157)
• Prior sampler should use PriorContext, not DefaultContext (#2169)

Turing v0.30.3

Diff since v0.30.2

Merged pull requests:

• Fix dimensionality issues of ADVI (#2162) (@torfjelde)

Closed issues:

• input length mismatch error using ADVI (#2160)

Turing v0.30.2

Diff since v0.30.1

Merged pull requests:

• Fix deprecations and default ADTypes (#2156) (@devmotion)

Closed issues:

• Docs: setadbackend (#2155)

Turing v0.30.1

Diff since v0.30.0

Merged pull requests:

• Update HISTORY.md (#2149) (@sunxd3)
• Fix AbstractMCMC 5 compatibility (#2153) (@devmotion)

Closed issues:

• Transpilation of pure WinBUGS code when reimplementing Prior and Posterior Prediction (#2148)

What's Changed

• Replaced specifying a global AD backend with ADTypes.jl. Users should now specify the desired ADType directly in sampler constructors, e.g., HMC(0.1, 10; adtype=AutoForwardDiff(; chunksize)), or HMC(0.1, 10; adtype=AutoReverseDiff(false)) (false indicates not to use compiled tape).
• Interface functions such as ADBackend, setadbackend, setadsafe, setchunksize, and setrdcache are deprecated and will be removed in a future release.
• Removed the outdated verifygrad function.
• Updated to a newer version of LogDensityProblemsAD (v1.7).

New Contributors

• @sunxd3 made their first contribution in https://github.com/TuringLang/Turing.jl/pull/2134

Full Changelog: https://github.com/TuringLang/Turing.jl/compare/v0.29.3...v0.30.0

Turing v0.29.3

Diff since v0.29.2

Merged pull requests:

• Fixed externalsampler (#2089) (@torfjelde)

Turing v0.29.2

Diff since v0.29.1

Merged pull requests:

• CompatHelper: bump compat for SciMLBase to 2, (keep existing compat) (#2087) (@github-actions[bot])
• Fix + test for compiled ReverseDiff without linking (#2097) (@torfjelde)
• Fix for CI (#2098) (@torfjelde)

Closed issues:

• Dimensionality error when using MAP as initial point for sampling (#2079)
• Model using LKJCholesky fails with large covariance matrices (#2081)
• MCMCDistributed() not working properly - only worker 2 is sampling (#2082)
• Very high initial values for standard deviation (#2085)
• DynamicNUTS (via DynamicHMC) no longer works in Julia v1.9. (#2090)
• LKJCholesky does not work with compiled ReverseDiff.jl (#2091)
• Compute (Bayesian) R2 for Turing models (#2093)