Published July 16, 2024
| Version v0.33.2
Software
Open
TuringLang/Turing.jl: v0.33.2
Authors/Creators
- Kai Xu
- Hong Ge1
- Cameron Pfiffer2
- David Widmann3
- Martin Trapp4
- Tor Erlend Fjelde5
- Mohamed Tarek3
- Emile Mathieu1
- Will Tebbutt
- Adam Scibior6
- Killian Q. Zhuo7
- Hessam Mehr8
- Markus Hauru
- Emma Smith
- Xianda Sun
- Philipp Gabler
- Jaime RZ
- Rik Huijzer
- Harrison Wilde9
- Arthur Lui
- FredericWantiez
- Pietro Monticone10
- Tom Röschinger
- azev7711
- Kyurae Kim12
- hsm207
- dfish
- Saranjeet Kaur
- Ramon Diaz-Uriarte13
- 1. University of Cambridge
- 2. @mind-co
- 3. @PumasAI
- 4. Aalto University
- 5. @TuringLang
- 6. University of British Columbia
- 7. None
- 8. University of Glasgow
- 9. @UCL @knowlab @dssg
- 10. University of Trento
- 11. Zicklin School of Business, Baruch College
- 12. University of Pennsylvania
- 13. Universidad Autonoma de Madrid
Description
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)
Files
TuringLang/Turing.jl-v0.33.2.zip
Additional details
Related works
- Is supplement to
- Software: https://github.com/TuringLang/Turing.jl/tree/v0.33.2 (URL)