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Summary:
Calibrated Bayesian optimization on top of bayesian-gp-cvloss: composable conformal prediction (Weighted + Localized + Adaptive), single- and multi-objective acquisition (cUCB / cEI / cEHVI), q-batch greedy with fantasies, and a one-call BO loop with persistent ACI state.
Latest version:
0.3.0
Required dependencies:
bayesian-gp-cvloss
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numpy
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scikit-learn
|
scipy
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