sig
type dsmat = Owl_dense_matrix_d.mat
type vector = Gsl.Vector.vector
val linear :
?i:bool ->
Owl_regression.dsmat -> Owl_regression.dsmat -> Owl_regression.dsmat
val polynomial :
Owl_regression.dsmat ->
Owl_regression.dsmat -> int -> Owl_regression.dsmat
val exponential :
Owl_regression.dsmat -> Owl_regression.dsmat -> Owl_regression.dsmat
val nonlinear :
(Owl_regression.vector -> float -> float) ->
float array ->
Owl_regression.dsmat -> Owl_regression.dsmat -> Owl_regression.dsmat
val ols :
?i:bool ->
Owl_regression.dsmat -> Owl_regression.dsmat -> Owl_regression.dsmat
val ridge :
?i:bool ->
?a:float ->
Owl_regression.dsmat -> Owl_regression.dsmat -> Owl_regression.dsmat
val lasso :
?i:bool ->
?a:float ->
Owl_regression.dsmat -> Owl_regression.dsmat -> Owl_regression.dsmat
val logistic :
?i:bool ->
Owl_regression.dsmat -> Owl_regression.dsmat -> Owl_regression.dsmat
val svm :
?i:bool ->
Owl_regression.dsmat ->
Owl_regression.dsmat -> Owl_regression.dsmat -> Owl_regression.dsmat
val kmeans :
Owl_regression.dsmat -> int -> Owl_regression.dsmat * int array
end