Make_Embedded (p.owl.0.7.1.doc.owl.Owl_regression.Make

Parameters

module A : Owl_types_ndarray_algodiff.Sig

Signature

include sig ... end

module Optimise : sig ... end

val _linear_reg : 
  bool ->
  Optimise.Params.typ ->
  Optimise.Algodiff.A.arr ->
  Optimise.Algodiff.A.arr ->
  Optimise.Algodiff.A.arr array

val ols : 
  ?i:bool ->
  Optimise.Algodiff.A.arr ->
  Optimise.Algodiff.A.arr ->
  Optimise.Algodiff.A.arr array

val ridge : 
  ?i:bool ->
  ?alpha:float ->
  Optimise.Algodiff.A.arr ->
  Optimise.Algodiff.A.arr ->
  Optimise.Algodiff.A.arr array

val lasso : 
  ?i:bool ->
  ?alpha:float ->
  Optimise.Algodiff.A.arr ->
  Optimise.Algodiff.A.arr ->
  Optimise.Algodiff.A.arr array

val elastic_net : 
  ?i:bool ->
  ?alpha:float ->
  ?l1_ratio:float ->
  Optimise.Algodiff.A.arr ->
  Optimise.Algodiff.A.arr ->
  Optimise.Algodiff.A.arr array

val svm : 
  ?i:bool ->
  ?a:float ->
  Optimise.Algodiff.A.arr ->
  Optimise.Algodiff.A.arr ->
  Optimise.Algodiff.A.arr array

val logistic : 
  ?i:bool ->
  Optimise.Algodiff.A.arr ->
  Optimise.Algodiff.A.arr ->
  Optimise.Algodiff.A.arr array

val exponential : 
  ?_i:bool ->
  Optimise.Algodiff.A.arr ->
  Optimise.Algodiff.A.arr ->
  Optimise.Algodiff.A.elt * Optimise.Algodiff.A.elt * Optimise.Algodiff.A.elt

val poly : 
  Optimise.Algodiff.A.arr ->
  Optimise.Algodiff.A.arr ->
  int ->
  Optimise.Algodiff.A.arr