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in-package search v0.2.0
gpr
Make_variational_FIC.Model
(Untrained) model - does not require targets
type t
Type of models
type co_variance_coeffs
Type of covariance coefficients
val calc : Inputs.t -> sigma2:float -> t
calc inputs ~sigma2
model given inputs and noise level sigma2 (= variance, i.e. squared standard deviation).
inputs
sigma2
val update_sigma2 : t -> float -> t
update_sigma2 model sigma2
model by updating model with new noise level sigma2.
model
val calc_log_evidence : t -> float
calc_log_evidence model
the contribution to the log evidence (= log marginal likelihood) of model.
val calc_co_variance_coeffs : t -> co_variance_coeffs
calc_co_variance_coeffs model
the coefficients required for computing posterior (co-)variances for model.
val get_kernel : t -> Spec.Kernel.t
get_kernel model
the kernel associated with model.
val get_sigma2 : t -> float
get_sigma2 model
the noise level associated with model.
val get_inputs : t -> Inputs.t
get_inputs model
the inputs associated with model.
val get_inducing : t -> Inducing.t
the inducing inputs associated with model.