Module Gpr_interfaces.Sigs.Eval.Variance

module Variance: sig .. end
Posterior variance for a single input

type t 
Type of variance
val calc : Gpr_interfaces.Sigs.Eval.Co_variance_predictor.t ->
sigma2:float ->
Gpr_interfaces.Sigs.Eval.Input.t -> t
calc co_variance_predictor ~sigma2 input
Returns variance for input given mean_predictor and noise level sigma2.
val get : ?predictive:bool -> t -> float
get ?predictive variance
Returns the variance as a float. If predictive is true, then the noise level will be added.
predictive : default = true