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gnu: Add fann. 

* gnu/packages/machine-learning.scm (fann): New variable.

Co-authored-by: Ben Woodcroft <donttrustben@gmail.com>
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Mark Meyer 2018-02-01 15:07:58 +01:00 committed by Ben Woodcroft
parent 9b94ced45c
commit a9b3476239
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@ -4,6 +4,8 @@
;;; Copyright © 2016, 2017 Marius Bakke <mbakke@fastmail.com>
;;; Copyright © 2016 Hartmut Goebel <h.goebel@crazy-compilers.com>
;;; Copyright © 2018 Tobias Geerinckx-Rice <me@tobias.gr>
;;; Copyright © 2018 Mark Meyer <mark@ofosos.org>
;;; Copyright © 2018 Ben Woodcroft <donttrustben@gmail.com>
;;;
;;; This file is part of GNU Guix.
;;;
@ -31,6 +33,7 @@
#:use-module (guix build-system ocaml)
#:use-module (guix build-system python)
#:use-module (guix build-system r)
#:use-module (guix git-download)
#:use-module (gnu packages)
#:use-module (gnu packages autotools)
#:use-module (gnu packages boost)
@ -50,6 +53,38 @@
#:use-module (gnu packages xml)
#:use-module (gnu packages xorg))
(define-public fann
;; The last release is >100 commits behind, so we package from git.
(let ((commit "d71d54788bee56ba4cf7522801270152da5209d7"))
(package
(name "fann")
(version (string-append "2.2.0-1." (string-take commit 8)))
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/libfann/fann.git")
(commit commit)))
(file-name (string-append name "-" version "-checkout"))
(sha256
(base32
"0ibwpfrjs6q2lijs8slxjgzb2llcl6rk3v2ski4r6215g5jjhg3x"))))
(build-system cmake-build-system)
(arguments
`(#:phases
(modify-phases %standard-phases
(replace 'check
(lambda* (#:key outputs #:allow-other-keys)
(let* ((out (assoc-ref outputs "out")))
(with-directory-excursion (string-append (getcwd) "/tests")
(invoke "./fann_tests"))))))))
(home-page "http://leenissen.dk/fann/wp/")
(synopsis "Fast Artificial Neural Network")
(description
"FANN is a free open source neural network library, which implements
multilayer artificial neural networks in C with support for both fully
connected and sparsely connected networks.")
(license license:lgpl2.1))))
(define-public libsvm
(package
(name "libsvm")