Releases: TuringLang/Turing.jl
Releases · TuringLang/Turing.jl
v0.34.0
Turing v0.34.0
Merged pull requests:
- Check that the correct AD backend is being used (#2291) (@mhauru)
- Resolve ADTypeCheckContext method ambiguity (#2299) (@mhauru)
- Fix remaining method ambiguities (#2304) (@penelopeysm)
- Remove unused code (#2312) (@devmotion)
Closed issues:
- Tests to check that the correct AD method is actually used (#2235)
- Enable Aqua.test_ambiguities (#2261)
- Mode estimation's support of Pathfinder integration (#2268)
- Multithread tests fail on master (#2302)
- Julia 1.7 tests are failing (#2305)
- Support potential type argument in rand for eltype of Sampleable (#2306)
- Dead code in
mcmc/hmc.jl
? (#2311)
v0.33.3
v0.33.2
Turing v0.33.2
The release brought bug fixes and improvement to the new Experimental.Gibbs
(👏 for @torfjelde 's heroic efforts)
Merged pull requests:
- Fixes and improvements to experimental
Gibbs
(#2231) (@torfjelde) - Re-enable coverage uploads (#2283) (@devmotion)
Closed issues:
- Simple user error makes code evaluate forever - Calling DynamicPPL.Model as a function. (#2182)
- Experimental Gibbs seems to have higher variance than "stable" Gibbs (maybe) (#2230)
- Undeterministic test failure (#2234)
- Make MLE and MAP more robust (#2279)
- Fix code test coverage (#2282)
- preallocating an array of random variables, getting
varname As used multiple times in model (subsumes As[1])
(#2284) - maximum_likelihood function not found in Turing.jl (#2285)
v0.33.1
Turing v0.33.1
Merged pull requests:
- Check model by default (#2218) (@torfjelde)
- disable more sampling progress logging on CI (#2254) (@yebai)
- Code formatting: JuliaFormatter (#2255) (@mhauru)
- Add note about breaking v0.33.0 changes to HISTORY (#2256) (@mhauru)
- Add Aqua to tests (#2257) (@mhauru)
- Remove trailing whitespace (#2260) (@mhauru)
- Update .JuliaFormatter.toml (#2262) (@yebai)
- Formatting VI files (#2263) (@yebai)
- CompatHelper: bump compat for OptimizationBBO to 0.3 for package test, (keep existing compat) (#2266) (@github-actions[bot])
- Bump SciMLBase compat lower bound (#2267) (@mhauru)
- Add Base.get method for ModeResult (#2269) (@mhauru)
- Use new style kwarg constructor for AutoReverseDiff (#2273) (@mhauru)
- Bump DynamicPPL to v0.28 (#2276) (@mhauru)
- Version bump 0.33+ (#2278) (@mhauru)
Closed issues:
- Feature Request: Better Indexing for ModeResult object (#1417)
- transform! not differentiable (#1835)
- Print an informational message about using ReverseDiff when the model size is above a certain threshold. (#1852)
- covariance matrix cannot be estimated using Wishart with NUTS, HMC or HMCDA samplers (#1861)
- ADVI example fails with Zygote AD backend (#1988)
- stderror() on optimize() result fails (#2048)
- Adopt
Changelog.jl
for tracking release notes and change logs (#2129) - Documentation for optimisation methods (MAP, MLE) (#2164)
- Style Guide and Style Checker (#2241)
- Implementing
adtype
for closely linked "external" samplers / adding metric warm-up (#2248) - Failing in precompiling dependencies (#2271)
- AbstractMCMC docs page out of date (#2272)
v0.33.0
Turing v0.33.0
Merged pull requests:
- Reenable PriorContext for Optimization (#2165) (@alyst)
- Optimization improvements (#2221) (@mhauru)
- Test restructuring (#2237) (@mhauru)
- Update Project.toml (#2244) (@yebai)
- CompatHelper: bump compat for OptimizationOptimJL to 0.3 for package test, (keep existing compat) (#2246) (@github-actions[bot])
- Restore compat with ADTypes v0.2. Make AutoTapir export conditional. (#2252) (@mhauru)
- ADTypes v0.2 compatibility for test restructuring (#2253) (@mhauru)
Closed issues:
v0.32.3
Turing v0.32.3
Merged pull requests:
v0.32.2
v0.32.1
Turing v0.32.1
Merged pull requests:
- Re-export certain functionality from DynamicPPL (#2217) (@torfjelde)
- Export adtype
AutoTapir
(#2236) (@yebai)
Closed issues:
v0.32.0
Turing v0.32.0
Merged pull requests:
- Fixes to AD backend usage in
externalsampler
(#2223) (@torfjelde) - Bump DPPL version to 0.27 (#2225) (@torfjelde)
v0.31.5
Turing v0.31.5
Merged pull requests:
- Fix for
optimize
and:=
(#2224) (@torfjelde)
Closed issues:
- Issues with constrained parameters depending on each other (#2195)