Public variables and functions:

• expected-improvement
• integrated-aq-func

Public variables and functions:

• broadcast-function-NxD-MxD
• broadcast-function-NxDxN-NxN
• safe-broadcast-op
• safe-sum
• scale-square-diff
• square-diff

Public variables and functions:

• bo-acquire
• deodorant

Public variables and functions:

• matern-for-vector-input
• matern32-grad-K
• matern32-grad-z
• matern32-K
• matern32-plus-matern52-grad-K
• matern32-plus-matern52-grad-z
• matern32-plus-matern52-K
• matern32-xs-z
• matern52-grad-K
• matern52-grad-z
• matern52-K
• matern52-xs-z

Public variables and functions:

• default-double-matern-hyperprior
• default-hmc-initializer
• default-mean-fn-form

Public variables and functions:

• ->trained-gp-obj
• convert-output-to-std-dev
• create-trained-gp-obj
• gp-grad-log-likelihood
• gp-log-likelihood
• gp-mixture-mu-sig
• gp-predict-mu-cov
• gp-predict-mu-sig
• gp-predict-with-derivatives
• gp-sample
• gp-train
• map->trained-gp-obj
• subtract-mean-fn

Public variables and functions:

• ->mvn-distribution
• ->normal-distribution
• argmax
• cartesian
• defdist
• distribution
• erf
• indexed-max
• map->mvn-distribution
• map->normal-distribution
• mean
• multivariate-distribution
• mvn
• normal
• RNG
• sum

Public variables and functions:

• burn-in-and-thin
• collapse-identical-samples
• hmc-chain
• hmc-integrate
• hmc-transition
• scale-vector

Public variables and functions:

• compose-hyperpriors
• constant-length-distance-hyperprior

Public variables and functions:

• ->scale-details-obj
• ->scaling-funcs-obj
• flatten-unflatten
• map->scale-details-obj
• map->scaling-funcs-obj
• scale
• scale-points
• setup-scaling-funcs
• unflatten-from-sizes
• update-scale-details