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