package owl

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package owl
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Library
Module
Module type
Parameter
Class
Class type
include module type of struct include Owl_types end
type number = Owl_types_common.number =
  1. | F32
  2. | F64
  3. | C32
  4. | C64
type ('a, 'b) owl_arr = ('a, 'b, Bigarray.c_layout) Bigarray.Genarray.t
type index = Owl_types_common.index =
  1. | I of int
  2. | L of int list
  3. | R of int list
type slice = index list
type index_ = Owl_types_common.index_ =
  1. | I_ of int
  2. | L_ of int array
  3. | R_ of int array
type slice_ = index_ array
type padding = Owl_types_common.padding =
  1. | SAME
  2. | VALID
type device_type = Owl_types_common.device_type =
  1. | CPU
  2. | OpenCL
  3. | CUDA
module type Ndarray_Basic = sig ... end
module type Ndarray_Compare = sig ... end
module type Ndarray_Mutable = sig ... end
module type Ndarray_Algodiff = sig ... end
module type Ndarray_Numdiff = sig ... end
module type Stats_Dist = sig ... end
module type Computation_Device = sig ... end
val version : string
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 Exception = Owl_exception
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 Fft = Owl_fft
module Cluster = Owl_cluster
module Utils = Owl_utils
module Ext = Owl_ext
module Dataset = Owl_dataset
module Dataframe = Owl_dataframe
module Lazy = Owl_lazy
module Graph = Owl_graph
module Nlp = Owl_nlp
module Log = Owl_log
module Computation = Owl_computation
module Cblas = Owl_cblas
module Lapacke = Owl_lapacke
module Arr : sig ... end
module Mat : sig ... end
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