Closed goldingn closed 9 years ago
don't want to make predictions every time a model is fitted, so return marginal likelihood and components describing posterior at training (or inducing) locations
This is done, marginal likelihood and some core components calculated and passed via a posterior object for predictions etc.
don't want to make predictions every time a model is fitted, so return marginal likelihood and components describing posterior at training (or inducing) locations