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chore: prepare PySR 2.0.0a2 release (astroautomata#1189)
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.release-please-manifest.json

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{
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".": "2.0.0a1"
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CHANGELOG.md

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# Changelog
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## [2.0.0a2](https://github.com/MilesCranmer/PySR/compare/v2.0.0a1...v2.0.0a2) (2026-05-15)
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This is an alpha release of v2.0.0. It includes backend, packaging, export, and documentation updates since `v2.0.0a1`.
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### Backend and Packaging
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* update backend to SymbolicRegression.jl v2.0.0-alpha.9 ([#1132](https://github.com/MilesCranmer/PySR/pull/1132))
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* allow pandas `<4.0.0` ([#1129](https://github.com/MilesCranmer/PySR/pull/1129))
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* repair PySR v2 release automation without relying on release-please to publish PEP 440 alpha versions ([#1162](https://github.com/MilesCranmer/PySR/pull/1162), [#1169](https://github.com/MilesCranmer/PySR/pull/1169), [#1185](https://github.com/MilesCranmer/PySR/pull/1185))
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### Features
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* add Slurm tests using docker compose ([0364d43](https://github.com/MilesCranmer/PySR/commit/0364d43c01ba058784e9e8eaab357f927895ce1e))
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* raise friendly error when loss functions have bad signatures ([#1138](https://github.com/MilesCranmer/PySR/pull/1138))
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### Bug Fixes
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* correct type in elementwise loss validation ([#1184](https://github.com/MilesCranmer/PySR/pull/1184))
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* normalize DataFrame column spaces in `predict` ([#1136](https://github.com/MilesCranmer/PySR/pull/1136))
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* fix torch export with constant arguments ([bb721b5](https://github.com/MilesCranmer/PySR/commit/bb721b5687248165f4cdbb08807498185947ae4c), [e280034](https://github.com/MilesCranmer/PySR/commit/e280034231acb03b146e6a0333e02d3fc38acebc))
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* fix typing issue in export format ([2b173ff](https://github.com/MilesCranmer/PySR/commit/2b173ffa1fbe8ff6a07ab223f1132343a2b4c324))
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### Documentation
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* overhaul documentation with VitePress and add language/version picker
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* add example papers for active matter, Lyman-alpha forest analysis, batteries, implied volatility, and math discovery
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## [2.0.0a1] (2025-10-08)
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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.

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