Module Owl_regression.Make_Embedded

Parameters

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