A Python toolbox for decision making under uncertainty: optimisation, quadrature, multi-fidelity, experiment design.

bayesian-optimization bayesian-quadrature decision-making emulation experimental-design machine-learning multi-fidelity python sensitivity-analysis uncertainty-quantification