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 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.
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