Metadata-Version: 2.4
Name: axbo_extensions
Version: 1.4.0
Summary: Ax/BoTorch GLUE for multi-fidelity + robust optimization.
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: ax-platform==1.3.1
Requires-Dist: botorch==0.18.1
Requires-Dist: pydantic>=2.0
Requires-Dist: numpy
Requires-Dist: sympy
Provides-Extra: dev
Requires-Dist: pytest; extra == "dev"
Requires-Dist: mypy; extra == "dev"
Requires-Dist: black; extra == "dev"
Requires-Dist: ruff; extra == "dev"
Dynamic: license-file

# Bayesian (BOTorch) extensions for the Ax platform

> This is largely an experimental library basically glueing **multi-fidelity** and **robust** optimization
> into the ax-platform internals. Refactored out of
> [foamBO](https://github.com/FoamScience/OpenFOAM-Multi-Objective-Optimization) to decouple it from its orchestration capabilities.

Extracts foamBO's self-contained (historic) `robustness.py` (qMultiFidHVKG cost loop,
`SubstituteContextFeatures`, `RobustAcquisition` CVaR/MARS, `augment_generator_specs` /
`cycle_context`) into a separate package so more tools can have these capabilities
without getting foamBO's orchestration if they don't want it.
