v0.30.8

Turing v0.30.8

Diff since v0.30.7

Merged pull requests:

• Bugfix for Optim.jl on models with different linked dimensionality (#2196) (@torfjelde)

Closed issues:

• Feature request: allow user to pass gradient tape into sample() function (#1419)
• Should we support Tracker.jl? (#2000)
• Transfer essential/ad.jl to DynamicPPL (#2141)
• init_params doesn't work since v0.30.0 (#2150)
• ADVI does not work with new DynamicPPL.jl Conditioning Syntax (#2178)
• Proposal for MH only works correctly with subtypes of MvNormal (#2180)
• Question: I tried this tutorial. I added the package "DynamicPPL". However, when running "using DynamicPPL: settrans!", I get the error "UndefVarError: settrans! not defined" (#2183)
• filldist on distributions requiring SimplexBijector (#2190)
• init_params in v.0.30.1 (#2192)

v0.30.7

Turing v0.30.7

Diff since v0.30.6

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• autodiff documentation outdated (#2177)

v0.30.5

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)

v0.30.4

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)

v0.30.3

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)

v0.30.2

Turing v0.30.2

Diff since v0.30.1

Merged pull requests:

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

Closed issues:

• Docs: setadbackend (#2155)

v0.30.1

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)

v0.30.0

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 #2134

Full Changelog: v0.29.3...v0.30.0

v0.29.3

Turing v0.29.3

Diff since v0.29.2

Merged pull requests:

• Fixed externalsampler (#2089) (@torfjelde)