bayesvalidrox.surrogate_models.sequential_design

Engine to train the surrogate

Functions

hellinger_distance(P, Q)	Hellinger distance between two continuous distributions.
logpdf(x, mean, cov)	Computes the likelihood based on a multivariate normal distribution.
subdomain(Bounds, n_new_samples)	Divides a domain defined by Bounds into subdomains.

Classes

SequentialDesign(MetaMod, Model, ExpDes, engine)

Contains options for choosing the next training sample iteratively.