diff options
Diffstat (limited to 'gnu/packages/machine-learning.scm')
| -rw-r--r-- | gnu/packages/machine-learning.scm | 98 |
1 files changed, 96 insertions, 2 deletions
diff --git a/gnu/packages/machine-learning.scm b/gnu/packages/machine-learning.scm index cbc7509416..2ccf0f2557 100644 --- a/gnu/packages/machine-learning.scm +++ b/gnu/packages/machine-learning.scm @@ -1,5 +1,6 @@ ;;; GNU Guix --- Functional package management for GNU -;;; Copyright © 2015 Ricardo Wurmus <rekado@elephly.net> +;;; Copyright © 2015, 2016 Ricardo Wurmus <rekado@elephly.net> +;;; Copyright © 2016 Efraim Flashner <efraim@flashner.co.il> ;;; ;;; This file is part of GNU Guix. ;;; @@ -21,12 +22,15 @@ #:use-module (guix packages) #:use-module (guix utils) #:use-module (guix download) + #:use-module (guix svn-download) #:use-module (guix build-system cmake) #:use-module (guix build-system gnu) #:use-module (guix build-system r) #:use-module (gnu packages) + #:use-module (gnu packages autotools) #:use-module (gnu packages boost) #:use-module (gnu packages compression) + #:use-module (gnu packages dejagnu) #:use-module (gnu packages gcc) #:use-module (gnu packages maths) #:use-module (gnu packages pkg-config) @@ -107,6 +111,95 @@ classification.") `(("python" ,python))) (synopsis "Python bindings of libSVM"))) +(define-public ghmm + ;; The latest release candidate is several years and a couple of fixes have + ;; been published since. This is why we download the sources from the SVN + ;; repository. + (let ((svn-revision 2341)) + (package + (name "ghmm") + (version (string-append "0.9-rc3-0." (number->string svn-revision))) + (source (origin + (method svn-fetch) + (uri (svn-reference + (url "http://svn.code.sf.net/p/ghmm/code/trunk") + (revision svn-revision))) + (file-name (string-append name "-" version)) + (sha256 + (base32 + "0qbq1rqp94l530f043qzp8aw5lj7dng9wq0miffd7spd1ff638wq")))) + (build-system gnu-build-system) + (arguments + `(#:phases + (modify-phases %standard-phases + (add-after 'unpack 'enter-dir + (lambda _ (chdir "ghmm") #t)) + (add-after 'enter-dir 'fix-PYTHONPATH + (lambda* (#:key outputs #:allow-other-keys) + ;; The Python tests fail as the library is assumed to be stored + ;; in ./build/lib.linux-i686-*. To fix this we detect the CPU + ;; and use it in the path. + (substitute* "configure.in" + (("AM_INIT_AUTOMAKE" line) + (string-append line "\nAC_CANONICAL_HOST\n"))) + (substitute* "ghmmwrapper/Makefile.am" + (("i686") "@host_cpu@")) + #t)) + (add-after 'enter-dir 'fix-runpath + (lambda* (#:key outputs #:allow-other-keys) + (substitute* "ghmmwrapper/setup.py" + (("^(.*)extra_compile_args = \\[" line indent) + (string-append indent + "extra_link_args = [\"-Wl,-rpath=" + (assoc-ref outputs "out") "/lib\"],\n" + line + "\"-Wl,-rpath=" + (assoc-ref outputs "out") + "/lib\", "))) + #t)) + (add-after 'enter-dir 'disable-broken-tests + (lambda _ + (substitute* "tests/Makefile.am" + ;; GHMM_SILENT_TESTS is assumed to be a command. + (("TESTS_ENVIRONMENT.*") "") + ;; Do not build broken tests. + (("chmm .*") "") + (("read_fa .*") "") + (("mcmc .*") "") + (("label_higher_order_test.*$") + "label_higher_order_test\n")) + + ;; These Python unittests are broken as there is no gato. + ;; See https://sourceforge.net/p/ghmm/support-requests/3/ + (substitute* "ghmmwrapper/ghmmunittests.py" + (("^(.*)def (testNewXML|testMultipleTransitionClasses|testNewXML)" + line indent) + (string-append indent + "@unittest.skip(\"Disabled by Guix\")\n" + line))) + #t)) + (add-before 'configure 'autogen + (lambda _ + (zero? (system* "bash" "./autogen.sh"))))))) + (inputs + `(("python" ,python-2) ; only Python 2 is supported + ("libxml2" ,libxml2))) + (native-inputs + `(("pkg-config" ,pkg-config) + ("dejagnu" ,dejagnu) + ("swig" ,swig) + ("autoconf" ,autoconf) + ("automake" ,automake) + ("libtool" ,libtool))) + (home-page "http://ghmm.org") + (synopsis "Hidden Markov Model library") + (description + "The General Hidden Markov Model library (GHMM) is a C library with +additional Python bindings implementing a wide range of types of @dfn{Hidden +Markov Models} (HMM) and algorithms: discrete, continous emissions, basic +training, HMM clustering, HMM mixtures.") + (license license:lgpl2.0+)))) + (define-public randomjungle (package (name "randomjungle") @@ -138,7 +231,8 @@ classification.") ("libxml2" ,libxml2) ("zlib" ,zlib))) (native-inputs - `(("gfortran" ,gfortran))) + `(("gfortran" ,gfortran) + ("gfortran:lib" ,gfortran "lib"))) (home-page "http://www.imbs-luebeck.de/imbs/de/node/227/") (synopsis "Implementation of the Random Forests machine learning method") (description |