Refactoring mostly for shebo#14
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weslleyspereira merged 2 commits intoNatLabRockies:mainfrom Dec 17, 2025
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December 16, 2025 22:40
- evaluate_and_log_point and NomadProblem propagate both infs and nans - evaluate_and_log_point does not update best output values. This change will make it possible to use evaluate_and_log_point with other optimization problems in the library - WeightedAcquisition was generalized to deal with constraints and perturbation probability in the API. This almost make TransitionSearch superseeded, intentionally. We might remove TransitionSearch in future commits. - GosacSample.optimize has been simplified Changes in shebo: - Now the surrogate training sets are synced in the begining of the algorithm. - The new code works directly with the original bounds - The acquisition function falls back into MaximizeDistance if all points generated by the original shebo strategy happen to be discarded.
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Changes in shebo: