package gpr

  1. Overview
  2. Docs
Legend:
Library
Module
Module type
Parameter
Class
Class type
type t
val create : ?eps:float -> ?lambda:float -> ?mu:float -> ?eta0:Lacaml.D.vec -> ?nu0:Lacaml.D.vec -> ?kernel:Eval.Spec.Kernel.t -> ?sigma2:float -> ?inducing:Eval.Spec.Inducing.t -> ?n_rand_inducing:int -> ?learn_sigma2:bool -> ?hypers:Spec.Hyper.t array -> inputs:Eval.Spec.Inputs.t -> targets:Lacaml.D.vec -> unit -> t
val step : t -> t
val gradient_norm : t -> float
val get_trained : t -> Eval.Trained.t
val get_eta : t -> Lacaml.D.vec
val get_nu : t -> Lacaml.D.vec
val test : ?epsabs:float -> ?max_iter:int -> ?report:(t -> unit) -> t -> t