Params (owl-base.Owl_neural_generic.Make.Graph.Neuron.Optimise.Params)

type typ = Make_Embedded(A).Neuron.Optimise.Params.typ = {

mutable epochs : float;
mutable batch : Batch.typ;
mutable gradient : Gradient.typ;
mutable loss : Loss.typ;
mutable learning_rate : Learning_Rate.typ;
mutable regularisation : Regularisation.typ;
mutable momentum : Momentum.typ;
mutable clipping : Clipping.typ;
mutable stopping : Stopping.typ;
mutable checkpoint : Checkpoint.typ;
mutable verbosity : bool;

}

val default : unit -> typ

val config : 
  ?batch:Batch.typ ->
  ?gradient:Gradient.typ ->
  ?loss:Loss.typ ->
  ?learning_rate:Learning_Rate.typ ->
  ?regularisation:Regularisation.typ ->
  ?momentum:Momentum.typ ->
  ?clipping:Clipping.typ ->
  ?stopping:Stopping.typ ->
  ?checkpoint:Checkpoint.typ ->
  ?verbosity:bool ->
  float ->
  typ

val to_string : typ -> string