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gpr
Make_variational_FITC.Cov_sampler
Module for sampling (multiple) points from the posterior distribution accounting for their covariance
type t
Type of covariance sampler
val calc : ?predictive:bool -> Means.t -> Covariances.t -> t
calc ?predictive mean variance
sampler given means and covariances. If predictive is true, the samples will be noisy.
means
covariances
predictive
val sample : ?rng:Gsl.Rng.t -> t -> Lacaml.D.vec
sample ?rng sampler
a sample vector from the posterior distribution given sampler and GSL random number generator rng.
sampler
rng
default = GSL default
val samples : ?rng:Gsl.Rng.t -> t -> n:int -> Lacaml.D.mat
samples ?rng sampler ~n
matrix of n sample vectors (stored row-wise) from the posterior distribution given sampler.
n