Published October 8, 2025
| Version v2.0.0a1
Software
Open
MilesCranmer/PySR: v2.0.0a1
Authors/Creators
- Miles Cranmer1
- Dhananjay Ashok
- T Coxon2
- William Booth-Clibborn3
- Ward K Harold
- wkharold
- Johann Brehmer4
- William Booth-Clibborn3
- Mark Kittisopikul5
- Dilum Aluthge6
- Saurav Maheshkar7
- Shah Mahdi Hasan
- chris-soelistyo
- Zehao Jin8
- William Thompson
- Vishal Jain
- Tom Jelen9
- Tanner Mengel10
- Roy Hvaara
- Raúl Peralta Lozada
- Miguel Crispim Romao
- Manuel Morales
- LionessOfCintra
- Digvijay (Jay) Wadekar11
- Ilya Orson12
- Hongyu Wang13
- 1. University of Cambridge
- 2. AAE @ Loughborough University
- 3. Scott Logic
- 4. Qualcomm AI Research
- 5. @JaneliaSciComp
- 6. Brown University; Pumas-AI
- 7. @dottxt-ai
- 8. New York University Abu Dhabi
- 9. @abzu-ai
- 10. University of Colorado, Boulder
- 11. UT Austin
- 12. Imperial College London
- 13. Beihang University
Description
This is an alpha release of v2.0.0. There will still be changes before the release of v2.0.0, likely including new hyperparameter defaults.
What's Changed
Major changes
Multiple features (update backend to 2.0) (#999)
This PR updates the backend to SymbolicRegression.jl 2.0.0-alpha.8 and exposes several major new features:
- N-ary operators: Support for operators with arbitrary arity (not just unary/binary)
- Added 3-arity operators:
fma(fused multiply-add),clamp, etc. - Automatic constraint processing for n-arity operators
- Added 3-arity operators:
- Equation guesses: Pass initial equation guesses to guide the search using the
guessesparameter tofit- Control replacement rate with
fraction_replaced_guesses
- Control replacement rate with
- Advanced autodiff backends: Experimental support for Mooncake.jl and Enzyme.jl
- Enzyme.jl support via
autodiff_backend="Enzyme"(fragile/experimental) - Mooncake.jl (experimental - currently disabled pending upstream fix)
- Enzyme.jl support via
- Feature node mutation: New mutation operator that directly modifies which features are used
- Control mutation weight with
weight_mutate_feature
- Control mutation weight with
- Worker management:
worker_imports: specify Julia packages to import on workersworker_timeout: control timeout for worker processes
Automatic batching for big data (#1045)
Other changes
- docs: add vector expression example by @MilesCranmer in https://github.com/MilesCranmer/PySR/pull/1041
- [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci[bot] in https://github.com/MilesCranmer/PySR/pull/1008
- chore(deps): bump actions/checkout from 4 to 5 by @dependabot[bot] in https://github.com/MilesCranmer/PySR/pull/1009
- ci: update Dockerfile image by @MilesCranmer in https://github.com/MilesCranmer/PySR/pull/1022
- test: update docker versions by @MilesCranmer in https://github.com/MilesCranmer/PySR/pull/1023
- chore(deps): bump actions/setup-python from 5 to 6 by @dependabot[bot] in https://github.com/MilesCranmer/PySR/pull/1027
- deps: update min python to 3.9 by @MilesCranmer in https://github.com/MilesCranmer/PySR/pull/1052
- deps: bump juliacall requirement by @dependabot[bot] in https://github.com/MilesCranmer/PySR/pull/1035
- chore(deps): bump actions/checkout from 4 to 5 by @dependabot[bot] in https://github.com/MilesCranmer/PySR/pull/1049
- chore(deps): bump github/codeql-action from 3 to 4 by @dependabot[bot] in https://github.com/MilesCranmer/PySR/pull/1050
- chore(deps): bump actions/setup-python from 5 to 6 by @dependabot[bot] in https://github.com/MilesCranmer/PySR/pull/1051
- chore(deps): update beartype requirement from <0.22,>=0.19 to >=0.19,<0.23 by @dependabot[bot] in https://github.com/MilesCranmer/PySR/pull/1047
- chore: update pyjuliacall requirement in environment.yml by @MilesCranmer in https://github.com/MilesCranmer/PySR/pull/1054
Full Changelog: https://github.com/MilesCranmer/PySR/compare/v1.5.9...v2.0.0a1
Files
MilesCranmer/PySR-v2.0.0a1.zip
Files
(2.4 MB)
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Additional details
Related works
- Is supplement to
- Software: https://github.com/MilesCranmer/PySR/tree/v2.0.0a1 (URL)
Software
- Repository URL
- https://github.com/MilesCranmer/PySR