Releases: TuringLang/Turing.jl
Releases · TuringLang/Turing.jl
v0.6.22
v0.6.21
v0.6.21 (2019-07-24)
Merged pull requests:
v0.6.19
v0.6.19 (2019-07-23)
Closed issues:
- gradient_logp is not type stable (#856)
- Tracker AD is broken for LDA (#850)
- Turing Minor Release (#839)
- Incorrect algorithm specification doesn't throw an error. (#831)
- Error with tracker based gradient for
MvNormal
(#829) - Hack to get strictly typed Duals? (#818)
- Make alg.space type info of the alg (#802)
- AD error with custom distribution (#780)
- Consider a CITATION.bib file (#759)
- Completely eliminating
Real
from the model and pre-allocating (#665)
Merged pull requests:
- Increment version number to 0.6.19 (#862) (cpfiffer)
- add some spaces to example code and tests (#860) (srenatus)
- Fix Tracker AD for LDA (#857) (mohamed82008)
- Bring back the generated functions (#852) (mohamed82008)
- Update MAP docs (#845) (mohamed82008)
- Add citation file. (#843) (yebai)
- Benchmarks update (#841) (KDr2)
- Add examples in #829 to benchmarks. (#836) (yebai)
- Fix #665, #802 and #829 (#826) (mohamed82008)
- Variational Inference (#796) (torfjelde)
v0.6.18
v0.6.18 (2019-07-05)
Closed issues:
- Domain Error on Develpment Branch (#814)
- Documentation Search always(?) leads to 404 (#806)
- Extracting
docs
from a closed PR (#805) - Documentation: Code error in Guide (#795)
- Structured Stochastic Variational Inference (#794)
- "sample from the prior" vs "sample from generative model' (#786)
- AD error in logsumexp (#781)
- Testing the TuringBenchBot (#779)
- Disable numerical tests on Appveyor CI (#776)
- RFC Sampler type (#771)
- Move SGLD and SGHMC to AdvancedHMC.jl (#769)
- Improve code for initialising
Sampler
(#768) - Make DynamicNUTS robust to numerical errors (#767)
- Turing v0.6.17 fails (#766)
- Release v0.6.17 (#764)
- Moving
SGHMC
andSGLD
samplers toAdvancedHMC
. (#748) - Run
Windows
tests on Travis CI (#725) - [RFC] Refactoring of the
Sampler
APIs (#723) - Extract symbol and indices from varname string (#721)
- Add example illustrating how to run multiple chains. (#698)
- Scalable MH (#675)
- NUTS adapatation samples appear in full chain (#635)
- VarInfo performance and model types (#620)
- Variational Bayes inference? (#606)
- Introduce MCMCSampler type (#602)
- Win32 tests are very slow on AppVeyor (#530)
- Add additional keyword arguments to the sample function (#482)
- Debugging tools (#379)
- Refactoring
VarInfo
(#377) - Remove Flat distribution (#315)
- Improving the speed of single program run (#294)
- Adapative MH (#287)
Merged pull requests:
- Update Turing to 0.6.18 (#838) (cpfiffer)
- Delete homepage-updater.jl (#835) (yebai)
- Update NUTS docstring (#832) (xukai92)
- Move benchmarks to this repo (#824) (KDr2)
- Set up CI with Azure Pipelines (#823) (yebai)
- Run benchmark on Travis-CI (#816) (KDr2)
- Minor update for #786 (#811) (cpfiffer)
- add a function to split a var string to symbol and inds (#809) (mohamed82008)
- Maybe fix the 404 error in the search bar (#808) (cpfiffer)
- Move AD tests to core testing suite (#807) (cpfiffer)
- Make AllUtils.jl inclusion copy-paste-friendly (#804) (mohamed82008)
- TS 3: Hook sample to TypedVarInfo (#803) (mohamed82008)
- Fix AHMC version before #791 is merged (#801) (xukai92)
- Improvements in CRP code (#800) (trappmartin)
- Hacks to make MvNormal work with Tracker (#798) (willtebbutt)
- Guide updates (#797) (cpfiffer)
- Change HMCDA default adaptation (#791) (xukai92)
- Pass verbose argument to AHMC (#790) (xukai92)
- Created
stdlib
folder - no functionality change. (#787) (yebai) - Interface Implementation Part 1 (#785) (cpfiffer)
- Discard adaptation samples (#784) (cpfiffer)
- logsumexp AD workaround (#782) (mohamed82008)
- Disallow numerical tests on Appveyor (#778) (cpfiffer)
- Merge PMCMC samplers into one file - no functionality change. (#773) (yebai)
- Fix some bug in
eval\_num
from #740 (#770) (mohamed82008) - TS 2: introduce TypedVarInfo and fix spl.info[:cache_updated] (#742) (mohamed82008)
- Replace HMC related codes using AHMC (#739) (xukai92)
v0.6.17
EPS bug fix
Bugfixes and internal improvements.
BNP priors for random partitions
The long-awaited support for BNP priors for random partitions has finally arrived (#591)! This release introduces Dirichlet processes, Chinese restaurant processes, Pitman-Yor processes, and much more! Tutorials and documentation to follow.
Bugfixes
Changed MCMCChain to MCMCChains
MCMCChain → MCMChains Changeover (#695)