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gnu: Move some lisp libraries.

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Move the 3 lisp libraries that are not in lisp-xyz.scm with the others.

* gnu/packages/machine-learning.scm (sbcl-cl-libsvm-format, cl-libsvm-format,
  ecl-cl-libsvm-format, sbcl-cl-online-learning, cl-online-learning,
  ecl-cl-online-learning, sbcl-cl-random-forest, cl-random-forest,
  ecl-cl-random-forest): Move to ...
* gnu/packages/lisp-xyz.scm (sbcl-cl-libsvm-format, cl-libsvm-format,
  ecl-cl-libsvm-format, sbcl-cl-online-learning, cl-online-learning,
  ecl-cl-online-learning, sbcl-cl-random-forest, cl-random-forest,
  ecl-cl-random-forest): ... here.
This commit is contained in:
Guillaume Le Vaillant 2020-07-01 10:36:59 +02:00
parent d2a9a39c71
commit 8f1ab4fb41
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GPG key ID: 6BE8208ADF21FE3F
2 changed files with 116 additions and 118 deletions
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116
gnu/packages/lisp-xyz.scm
View file

@ -12121,3 +12121,119 @@ (define-public sbcl-cluffer
(define-public cl-cluffer
(sbcl-package->cl-source-package sbcl-cluffer))
(define-public sbcl-cl-libsvm-format
(let ((commit "3300f84fd8d9f5beafc114f543f9d83417c742fb")
(revision "0"))
(package
(name "sbcl-cl-libsvm-format")
(version (git-version "0.1.0" revision commit))
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/masatoi/cl-libsvm-format.git")
(commit commit)))
(file-name (git-file-name name version))
(sha256
(base32
"0284aj84xszhkhlivaigf9qj855fxad3mzmv3zfr0qzb5k0nzwrg"))))
(build-system asdf-build-system/sbcl)
(native-inputs
`(("prove" ,sbcl-prove)
("prove-asdf" ,sbcl-prove-asdf)))
(inputs
`(("alexandria" ,sbcl-alexandria)))
(synopsis "LibSVM data format reader for Common Lisp")
(description
"This Common Lisp library provides a fast reader for data in LibSVM
format.")
(home-page "https://github.com/masatoi/cl-libsvm-format")
(license license:expat))))
(define-public cl-libsvm-format
(sbcl-package->cl-source-package sbcl-cl-libsvm-format))
(define-public ecl-cl-libsvm-format
(sbcl-package->ecl-package sbcl-cl-libsvm-format))
(define-public sbcl-cl-online-learning
(let ((commit "fc7a34f4f161cd1c7dd747d2ed8f698947781423")
(revision "0"))
(package
(name "sbcl-cl-online-learning")
(version (git-version "0.5" revision commit))
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/masatoi/cl-online-learning.git")
(commit commit)))
(file-name (git-file-name name version))
(sha256
(base32
"14x95rlg80ay5hv645ki57pqvy12v28hz4k1w0f6bsfi2rmpxchq"))))
(build-system asdf-build-system/sbcl)
(native-inputs
`(("prove" ,sbcl-prove)
("prove-asdf" ,sbcl-prove-asdf)))
(inputs
`(("cl-libsvm-format" ,sbcl-cl-libsvm-format)
("cl-store" ,sbcl-cl-store)))
(arguments
`(;; FIXME: Tests pass but then the check phase crashes
#:tests? #f))
(synopsis "Online Machine Learning for Common Lisp")
(description
"This library contains a collection of machine learning algorithms for
online linear classification written in Common Lisp.")
(home-page "https://github.com/masatoi/cl-online-learning")
(license license:expat))))
(define-public cl-online-learning
(sbcl-package->cl-source-package sbcl-cl-online-learning))
(define-public ecl-cl-online-learning
(sbcl-package->ecl-package sbcl-cl-online-learning))
(define-public sbcl-cl-random-forest
(let ((commit "85fbdd4596d40e824f70f1b7cf239cf544e49d51")
(revision "0"))
(package
(name "sbcl-cl-random-forest")
(version (git-version "0.1" revision commit))
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/masatoi/cl-random-forest.git")
(commit commit)))
(file-name (git-file-name name version))
(sha256
(base32
"097xv60i1ndz68sg9p4pc7c5gvyp9i1xgw966b4wwfq3x6hbz421"))))
(build-system asdf-build-system/sbcl)
(native-inputs
`(("prove" ,sbcl-prove)
("prove-asdf" ,sbcl-prove-asdf)
("trivial-garbage" ,sbcl-trivial-garbage)))
(inputs
`(("alexandria" ,sbcl-alexandria)
("cl-libsvm-format" ,sbcl-cl-libsvm-format)
("cl-online-learning" ,sbcl-cl-online-learning)
("lparallel" ,sbcl-lparallel)))
(arguments
`(#:tests? #f)) ; The tests download data from the Internet
(synopsis "Random Forest and Global Refinement for Common Lisp")
(description
"CL-random-forest is an implementation of Random Forest for multiclass
classification and univariate regression written in Common Lisp. It also
includes an implementation of Global Refinement of Random Forest.")
(home-page "https://github.com/masatoi/cl-random-forest")
(license license:expat))))
(define-public cl-random-forest
(sbcl-package->cl-source-package sbcl-cl-random-forest))
(define-public ecl-cl-random-forest
(sbcl-package->ecl-package sbcl-cl-random-forest))

118
gnu/packages/machine-learning.scm
View file

@ -37,7 +37,6 @@ (define-module (gnu packages machine-learning)
#:use-module (guix utils)
#:use-module (guix download)
#:use-module (guix svn-download)
#:use-module (guix build-system asdf)
#:use-module (guix build-system cmake)
#:use-module (guix build-system gnu)
#:use-module (guix build-system ocaml)
@ -63,7 +62,6 @@ (define-module (gnu packages machine-learning)
#:use-module (gnu packages gstreamer)
#:use-module (gnu packages image)
#:use-module (gnu packages linux)
#:use-module (gnu packages lisp-xyz)
#:use-module (gnu packages maths)
#:use-module (gnu packages mpi)
#:use-module (gnu packages ocaml)
@ -1965,122 +1963,6 @@ (define-public python-keras
@end itemize\n")
(license license:expat)))
(define-public sbcl-cl-libsvm-format
(let ((commit "3300f84fd8d9f5beafc114f543f9d83417c742fb")
(revision "0"))
(package
(name "sbcl-cl-libsvm-format")
(version (git-version "0.1.0" revision commit))
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/masatoi/cl-libsvm-format.git")
(commit commit)))
(file-name (git-file-name name version))
(sha256
(base32
"0284aj84xszhkhlivaigf9qj855fxad3mzmv3zfr0qzb5k0nzwrg"))))
(build-system asdf-build-system/sbcl)
(native-inputs
`(("prove" ,sbcl-prove)
("prove-asdf" ,sbcl-prove-asdf)))
(inputs
`(("alexandria" ,sbcl-alexandria)))
(synopsis "LibSVM data format reader for Common Lisp")
(description
"This Common Lisp library provides a fast reader for data in LibSVM
format.")
(home-page "https://github.com/masatoi/cl-libsvm-format")
(license license:expat))))
(define-public cl-libsvm-format
(sbcl-package->cl-source-package sbcl-cl-libsvm-format))
(define-public ecl-cl-libsvm-format
(sbcl-package->ecl-package sbcl-cl-libsvm-format))
(define-public sbcl-cl-online-learning
(let ((commit "fc7a34f4f161cd1c7dd747d2ed8f698947781423")
(revision "0"))
(package
(name "sbcl-cl-online-learning")
(version (git-version "0.5" revision commit))
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/masatoi/cl-online-learning.git")
(commit commit)))
(file-name (git-file-name name version))
(sha256
(base32
"14x95rlg80ay5hv645ki57pqvy12v28hz4k1w0f6bsfi2rmpxchq"))))
(build-system asdf-build-system/sbcl)
(native-inputs
`(("prove" ,sbcl-prove)
("prove-asdf" ,sbcl-prove-asdf)))
(inputs
`(("cl-libsvm-format" ,sbcl-cl-libsvm-format)
("cl-store" ,sbcl-cl-store)))
(arguments
`(;; FIXME: Tests pass but then the check phase crashes
#:tests? #f))
(synopsis "Online Machine Learning for Common Lisp")
(description
"This library contains a collection of machine learning algorithms for
online linear classification written in Common Lisp.")
(home-page "https://github.com/masatoi/cl-online-learning")
(license license:expat))))
(define-public cl-online-learning
(sbcl-package->cl-source-package sbcl-cl-online-learning))
(define-public ecl-cl-online-learning
(sbcl-package->ecl-package sbcl-cl-online-learning))
(define-public sbcl-cl-random-forest
(let ((commit "85fbdd4596d40e824f70f1b7cf239cf544e49d51")
(revision "0"))
(package
(name "sbcl-cl-random-forest")
(version (git-version "0.1" revision commit))
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/masatoi/cl-random-forest.git")
(commit commit)))
(file-name (git-file-name name version))
(sha256
(base32
"097xv60i1ndz68sg9p4pc7c5gvyp9i1xgw966b4wwfq3x6hbz421"))))
(build-system asdf-build-system/sbcl)
(native-inputs
`(("prove" ,sbcl-prove)
("prove-asdf" ,sbcl-prove-asdf)
("trivial-garbage" ,sbcl-trivial-garbage)))
(inputs
`(("alexandria" ,sbcl-alexandria)
("cl-libsvm-format" ,sbcl-cl-libsvm-format)
("cl-online-learning" ,sbcl-cl-online-learning)
("lparallel" ,sbcl-lparallel)))
(arguments
`(#:tests? #f)) ; The tests download data from the Internet
(synopsis "Random Forest and Global Refinement for Common Lisp")
(description
"CL-random-forest is an implementation of Random Forest for multiclass
classification and univariate regression written in Common Lisp. It also
includes an implementation of Global Refinement of Random Forest.")
(home-page "https://github.com/masatoi/cl-random-forest")
(license license:expat))))
(define-public cl-random-forest
(sbcl-package->cl-source-package sbcl-cl-random-forest))
(define-public ecl-cl-random-forest
(sbcl-package->ecl-package sbcl-cl-random-forest))
(define-public gloo
(let ((version "0.0.0") ; no proper version tag
(commit "ca528e32fea9ca8f2b16053cff17160290fc84ce")