module type Eval = sig
.. end
Modules for learning without derivatives of covariance functions.
module Spec: Gpr_interfaces.Specs.Eval
Specification of covariance function
module Inducing: sig
.. end
Evaluating inducing inputs
module Input: sig
.. end
Evaluating single inputs
module Inputs: sig
.. end
Evaluating (multiple) inputs
module Model: sig
.. end
(Untrained) model - does not require targets
module Trained: sig
.. end
Trained model - requires targets
module Stats: sig
.. end
Statistics derived from trained models
module Mean_predictor: sig
.. end
Module for making mean predictions
module Mean: sig
.. end
Posterior mean for a single input
module Means: sig
.. end
Posterior means for (multiple) inputs
module Co_variance_predictor: sig
.. end
Module for making (co-)variance predictions
module Variance: sig
.. end
Posterior variance for a single input
module Variances: sig
.. end
Posterior variances for (multiple) inputs
module Covariances: sig
.. end
Posterior covariances
module Sampler: sig
.. end
Module for sampling single points from the posterior distribution
module Cov_sampler: sig
.. end
Module for sampling (multiple) points from the posterior distribution
accounting for their covariance