sig
type t
val create :
?tau:float ->
?eta0:float ->
?step:int ->
?kernel:Eval.Spec.Kernel.t ->
?sigma2:float ->
?inducing:Eval.Spec.Inducing.t ->
?n_rand_inducing:int ->
?learn_sigma2:bool ->
?hypers:Interfaces.Sigs.Deriv.Deriv.Spec.Hyper.t array ->
inputs:Eval.Spec.Inputs.t ->
targets:Lacaml.D.vec -> unit -> Interfaces.Sigs.Deriv.Deriv.Optim.SGD.t
val step :
Interfaces.Sigs.Deriv.Deriv.Optim.SGD.t ->
Interfaces.Sigs.Deriv.Deriv.Optim.SGD.t
val gradient_norm : Interfaces.Sigs.Deriv.Deriv.Optim.SGD.t -> float
val get_trained :
Interfaces.Sigs.Deriv.Deriv.Optim.SGD.t -> Interfaces.Sigs.Eval.Trained.t
val get_eta : Interfaces.Sigs.Deriv.Deriv.Optim.SGD.t -> float
val get_step : Interfaces.Sigs.Deriv.Deriv.Optim.SGD.t -> int
val test :
?epsabs:float ->
?max_iter:int ->
?report:(Interfaces.Sigs.Deriv.Deriv.Optim.SGD.t -> unit) ->
Interfaces.Sigs.Deriv.Deriv.Optim.SGD.t ->
Interfaces.Sigs.Deriv.Deriv.Optim.SGD.t
end