Sub-modules for learning without derivatives.
module Spec = Spec.EvalSpecification of covariance function
module Inducing = FITC.Eval.InducingEvaluating inducing inputs
module Input = FITC.Eval.InputEvaluating single inputs
module Inputs = FITC.Eval.InputsEvaluating (multiple) inputs
module Model : sig ... end(Untrained) model - does not require targets
module Trained : sig ... endTrained model - requires targets
module Stats : sig ... endStatistics derived from trained models
module Mean_predictor : sig ... endModule for making mean predictions
module Mean : sig ... endPosterior mean for a single input
module Means : sig ... endPosterior means for (multiple) inputs
module Co_variance_predictor : sig ... endModule for making (co-)variance predictions
module Variance : sig ... endPosterior variance for a single input
module Variances : sig ... endPosterior variances for (multiple) inputs
module Covariances : sig ... endPosterior covariances
module Sampler : sig ... endModule for sampling single points from the posterior distribution
module Cov_sampler : sig ... endModule for sampling (multiple) points from the posterior distribution accounting for their covariance