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+;;; GNU Guix --- Functional package management for GNU
+;;; Copyright © 2015 Ricardo Wurmus <rekado@elephly.net>
+;;;
+;;; This file is part of GNU Guix.
+;;;
+;;; GNU Guix is free software; you can redistribute it and/or modify it
+;;; under the terms of the GNU General Public License as published by
+;;; the Free Software Foundation; either version 3 of the License, or (at
+;;; your option) any later version.
+;;;
+;;; GNU Guix is distributed in the hope that it will be useful, but
+;;; WITHOUT ANY WARRANTY; without even the implied warranty of
+;;; MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+;;; GNU General Public License for more details.
+;;;
+;;; You should have received a copy of the GNU General Public License
+;;; along with GNU Guix. If not, see <http://www.gnu.org/licenses/>.
+
+(define-module (gnu packages machine-learning)
+ #:use-module ((guix licenses) #:prefix license:)
+ #:use-module (guix packages)
+ #:use-module (guix utils)
+ #:use-module (guix download)
+ #:use-module (guix build-system gnu)
+ #:use-module (gnu packages))
+
+(define-public libsvm
+ (package
+ (name "libsvm")
+ (version "3.20")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (string-append
+ "https://github.com/cjlin1/libsvm/archive/v"
+ (string-delete #\. version) ".tar.gz"))
+ (file-name (string-append name "-" version ".tar.gz"))
+ (sha256
+ (base32
+ "1jpjlql3frjza7zxzrqqr2firh44fjb8fqsdmvz6bjz7sb47zgp4"))))
+ (build-system gnu-build-system)
+ (arguments
+ `(#:tests? #f ;no "check" target
+ #:phases (modify-phases %standard-phases
+ (delete 'configure)
+ (replace
+ 'install
+ (lambda* (#:key outputs #:allow-other-keys)
+ (let* ((out (assoc-ref outputs "out"))
+ (bin (string-append out "/bin/")))
+ (mkdir-p bin)
+ (for-each (lambda (file)
+ (copy-file file (string-append bin file)))
+ '("svm-train"
+ "svm-predict"
+ "svm-scale")))
+ #t)))))
+ (home-page "http://www.csie.ntu.edu.tw/~cjlin/libsvm/")
+ (synopsis "Library for Support Vector Machines")
+ (description
+ "LIBSVM is a machine learning library for support vector
+classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and
+distribution estimation (one-class SVM). It supports multi-class
+classification.")
+ (license license:bsd-3)))