package modelkit

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in-package search v0.2.0

Portable classical machine learning workflows for OCaml

Install

dune-project

Dependency

sha256=1fe8fa7c7f904dd098a21a2ca30fd69230750b8cf8aa2ae481b97a16531b47b4

sha512=c946cd1ac014726f4d21791e14d806a205680e6edfa2f80ed8d3680f24f48ca3c5a2f89d5afa68c11eac4053ead448b6381fb3d06dc8ff129097af6c69b262fb

Immutable two-dimensional float64 data in row-major C layout.

type t

type bigarray =
  (float, Bigarray.float64_elt, Bigarray.c_layout) Bigarray.Array2.t

val create : rows:int -> columns:int -> float -> (t, Data_error.t) result

val init : 
  rows:int ->
  columns:int ->
  (int -> int -> float) ->
  (t, Data_error.t) result

val of_arrays : float array array -> (t, Data_error.t) result

val of_bigarray : bigarray -> t

val rows : t -> int

val columns : t -> int

val shape : t -> int * int

val get : t -> int -> int -> float

get matrix row column returns one matrix element.

Raises Invalid_argument if either index is outside the matrix.

val row : t -> int -> Vector.t

row matrix index returns a zero-copy immutable view of one row.

Raises Invalid_argument if index is outside the matrix.

val to_arrays : t -> float array array

val to_bigarray : t -> bigarray