package owl

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package owl
Legend:
Library
Module
Module type
Parameter
Class
Class type
include module type of struct include Owl_types end
type index = Owl_types.index =
  1. | I of int
  2. | L of int list
  3. | R of int list
type slice = index list
type index_ = Owl_types.index_ =
  1. | I_ of int
  2. | L_ of int array
  3. | R_ of int array
type slice_ = index_ array
type padding = Owl_types.padding =
  1. | SAME
  2. | VALID
val _zero : 'a 'b. ('a, 'b) Bigarray.kind -> 'a
val _one : 'a 'b. ('a, 'b) Bigarray.kind -> 'a
val _pos_inf : 'a 'b. ('a, 'b) Bigarray.kind -> 'a
val _neg_inf : 'a 'b. ('a, 'b) Bigarray.kind -> 'a
module type NdarraySig = Owl_types.NdarraySig
module type NdarraySig_Ext = Owl_types.NdarraySig_Ext
module type InpureSig = Owl_types.InpureSig
val float32 : (float, Bigarray.float32_elt) Bigarray.kind
val float64 : (float, Bigarray.float64_elt) Bigarray.kind
val complex32 : (Stdlib.Complex.t, Bigarray.complex32_elt) Bigarray.kind
val complex64 : (Stdlib.Complex.t, Bigarray.complex64_elt) Bigarray.kind

Make alias of the modules in Owl for your convenience.

module Const = Owl_const
module Dense = Owl_dense
module Sparse = Owl_sparse
module Maths = Owl_maths
module Stats = Owl_stats
module Linalg = Owl_linalg
module Algodiff = Owl_algodiff
module Optimise = Owl_optimise
module Regression = Owl_regression
module Neural = Owl_neural
module Plot = Owl_plot
module Fft = Owl_fft
module Cluster = Owl_cluster
module Utils = Owl_utils
module Ext = Owl_ext
module Dataset = Owl_dataset
module Lazy = Owl_lazy
module Cblas = Owl_cblas
module Arr : sig ... end
module Mat : sig ... end
module Vec : sig ... end
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