A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
Description of changes: to pick these numbers I've just looked at other optimization codes, and it seems that most of the time people just use 5 or 10 as reasonably small defaults.
By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.
Issue #, if available: #235
Description of changes: to pick these numbers I've just looked at other optimization codes, and it seems that most of the time people just use 5 or 10 as reasonably small defaults.
By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.