sig
type typ = {
mutable epochs : float;
mutable batch : Owl_neural_optimise.Batch.typ;
mutable gradient : Owl_neural_optimise.Gradient.typ;
mutable loss : Owl_neural_optimise.Loss.typ;
mutable learning_rate : Owl_neural_optimise.Learning_Rate.typ;
mutable regularisation : Owl_neural_optimise.Regularisation.typ;
mutable momentum : Owl_neural_optimise.Momentum.typ;
mutable clipping : Owl_neural_optimise.Clipping.typ;
mutable checkpoint : float;
mutable verbosity : bool;
}
val default : unit -> Owl_neural_optimise.Params.typ
val config :
?batch:Owl_neural_optimise.Batch.typ ->
?gradient:Owl_neural_optimise.Gradient.typ ->
?loss:Owl_neural_optimise.Loss.typ ->
?learning_rate:Owl_neural_optimise.Learning_Rate.typ ->
?regularisation:Owl_neural_optimise.Regularisation.typ ->
?momentum:Owl_neural_optimise.Momentum.typ ->
?clipping:Owl_neural_optimise.Clipping.typ ->
?checkpoint:float ->
?verbosity:bool -> float -> Owl_neural_optimise.Params.typ
val to_string : Owl_neural_optimise.Params.typ -> string
end