gnu: Move some lisp libraries.
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
parent
d2a9a39c71
commit
8f1ab4fb41
2 changed files with 116 additions and 118 deletions
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@ -12121,3 +12121,119 @@ (define-public sbcl-cluffer
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(define-public cl-cluffer
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(define-public cl-cluffer
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(sbcl-package->cl-source-package sbcl-cluffer))
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(sbcl-package->cl-source-package sbcl-cluffer))
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(define-public sbcl-cl-libsvm-format
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(let ((commit "3300f84fd8d9f5beafc114f543f9d83417c742fb")
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(revision "0"))
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(package
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(name "sbcl-cl-libsvm-format")
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(version (git-version "0.1.0" revision commit))
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(source
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(origin
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(method git-fetch)
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(uri (git-reference
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(url "https://github.com/masatoi/cl-libsvm-format.git")
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(commit commit)))
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(file-name (git-file-name name version))
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(sha256
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(base32
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"0284aj84xszhkhlivaigf9qj855fxad3mzmv3zfr0qzb5k0nzwrg"))))
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(build-system asdf-build-system/sbcl)
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(native-inputs
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`(("prove" ,sbcl-prove)
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("prove-asdf" ,sbcl-prove-asdf)))
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(inputs
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`(("alexandria" ,sbcl-alexandria)))
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(synopsis "LibSVM data format reader for Common Lisp")
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(description
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"This Common Lisp library provides a fast reader for data in LibSVM
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format.")
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(home-page "https://github.com/masatoi/cl-libsvm-format")
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(license license:expat))))
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(define-public cl-libsvm-format
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(sbcl-package->cl-source-package sbcl-cl-libsvm-format))
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(define-public ecl-cl-libsvm-format
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(sbcl-package->ecl-package sbcl-cl-libsvm-format))
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(define-public sbcl-cl-online-learning
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(let ((commit "fc7a34f4f161cd1c7dd747d2ed8f698947781423")
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(revision "0"))
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(package
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(name "sbcl-cl-online-learning")
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(version (git-version "0.5" revision commit))
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(source
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(origin
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(method git-fetch)
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(uri (git-reference
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(url "https://github.com/masatoi/cl-online-learning.git")
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(commit commit)))
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(file-name (git-file-name name version))
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(sha256
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(base32
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"14x95rlg80ay5hv645ki57pqvy12v28hz4k1w0f6bsfi2rmpxchq"))))
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(build-system asdf-build-system/sbcl)
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(native-inputs
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`(("prove" ,sbcl-prove)
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("prove-asdf" ,sbcl-prove-asdf)))
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(inputs
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`(("cl-libsvm-format" ,sbcl-cl-libsvm-format)
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("cl-store" ,sbcl-cl-store)))
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(arguments
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`(;; FIXME: Tests pass but then the check phase crashes
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#:tests? #f))
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(synopsis "Online Machine Learning for Common Lisp")
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(description
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"This library contains a collection of machine learning algorithms for
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online linear classification written in Common Lisp.")
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(home-page "https://github.com/masatoi/cl-online-learning")
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(license license:expat))))
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(define-public cl-online-learning
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(sbcl-package->cl-source-package sbcl-cl-online-learning))
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(define-public ecl-cl-online-learning
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(sbcl-package->ecl-package sbcl-cl-online-learning))
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(define-public sbcl-cl-random-forest
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(let ((commit "85fbdd4596d40e824f70f1b7cf239cf544e49d51")
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(revision "0"))
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(package
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(name "sbcl-cl-random-forest")
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(version (git-version "0.1" revision commit))
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(source
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(origin
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(method git-fetch)
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(uri (git-reference
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(url "https://github.com/masatoi/cl-random-forest.git")
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(commit commit)))
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(file-name (git-file-name name version))
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(sha256
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(base32
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"097xv60i1ndz68sg9p4pc7c5gvyp9i1xgw966b4wwfq3x6hbz421"))))
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(build-system asdf-build-system/sbcl)
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(native-inputs
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`(("prove" ,sbcl-prove)
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("prove-asdf" ,sbcl-prove-asdf)
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("trivial-garbage" ,sbcl-trivial-garbage)))
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(inputs
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`(("alexandria" ,sbcl-alexandria)
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("cl-libsvm-format" ,sbcl-cl-libsvm-format)
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("cl-online-learning" ,sbcl-cl-online-learning)
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("lparallel" ,sbcl-lparallel)))
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(arguments
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`(#:tests? #f)) ; The tests download data from the Internet
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(synopsis "Random Forest and Global Refinement for Common Lisp")
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(description
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"CL-random-forest is an implementation of Random Forest for multiclass
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classification and univariate regression written in Common Lisp. It also
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includes an implementation of Global Refinement of Random Forest.")
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(home-page "https://github.com/masatoi/cl-random-forest")
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(license license:expat))))
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(define-public cl-random-forest
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(sbcl-package->cl-source-package sbcl-cl-random-forest))
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(define-public ecl-cl-random-forest
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(sbcl-package->ecl-package sbcl-cl-random-forest))
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@ -37,7 +37,6 @@ (define-module (gnu packages machine-learning)
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#:use-module (guix utils)
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#:use-module (guix utils)
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#:use-module (guix download)
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#:use-module (guix download)
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#:use-module (guix svn-download)
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#:use-module (guix svn-download)
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#:use-module (guix build-system asdf)
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#:use-module (guix build-system cmake)
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#:use-module (guix build-system cmake)
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#:use-module (guix build-system gnu)
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#:use-module (guix build-system gnu)
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#:use-module (guix build-system ocaml)
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#:use-module (guix build-system ocaml)
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@ -63,7 +62,6 @@ (define-module (gnu packages machine-learning)
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#:use-module (gnu packages gstreamer)
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#:use-module (gnu packages gstreamer)
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#:use-module (gnu packages image)
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#:use-module (gnu packages image)
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#:use-module (gnu packages linux)
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#:use-module (gnu packages linux)
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#:use-module (gnu packages lisp-xyz)
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#:use-module (gnu packages maths)
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#:use-module (gnu packages maths)
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#:use-module (gnu packages mpi)
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#:use-module (gnu packages mpi)
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#:use-module (gnu packages ocaml)
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#:use-module (gnu packages ocaml)
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@ -1965,122 +1963,6 @@ (define-public python-keras
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@end itemize\n")
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@end itemize\n")
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(license license:expat)))
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(license license:expat)))
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(define-public sbcl-cl-libsvm-format
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(let ((commit "3300f84fd8d9f5beafc114f543f9d83417c742fb")
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(revision "0"))
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(package
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(name "sbcl-cl-libsvm-format")
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(version (git-version "0.1.0" revision commit))
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(source
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(origin
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(method git-fetch)
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(uri (git-reference
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(url "https://github.com/masatoi/cl-libsvm-format.git")
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(commit commit)))
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(file-name (git-file-name name version))
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(sha256
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(base32
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"0284aj84xszhkhlivaigf9qj855fxad3mzmv3zfr0qzb5k0nzwrg"))))
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(build-system asdf-build-system/sbcl)
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(native-inputs
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`(("prove" ,sbcl-prove)
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("prove-asdf" ,sbcl-prove-asdf)))
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(inputs
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`(("alexandria" ,sbcl-alexandria)))
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(synopsis "LibSVM data format reader for Common Lisp")
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(description
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"This Common Lisp library provides a fast reader for data in LibSVM
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format.")
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(home-page "https://github.com/masatoi/cl-libsvm-format")
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(license license:expat))))
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(define-public cl-libsvm-format
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(sbcl-package->cl-source-package sbcl-cl-libsvm-format))
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(define-public ecl-cl-libsvm-format
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(sbcl-package->ecl-package sbcl-cl-libsvm-format))
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(define-public sbcl-cl-online-learning
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(let ((commit "fc7a34f4f161cd1c7dd747d2ed8f698947781423")
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(revision "0"))
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(package
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(name "sbcl-cl-online-learning")
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(version (git-version "0.5" revision commit))
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(source
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(origin
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(method git-fetch)
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(uri (git-reference
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(url "https://github.com/masatoi/cl-online-learning.git")
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(commit commit)))
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(file-name (git-file-name name version))
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(sha256
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(base32
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"14x95rlg80ay5hv645ki57pqvy12v28hz4k1w0f6bsfi2rmpxchq"))))
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(build-system asdf-build-system/sbcl)
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(native-inputs
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`(("prove" ,sbcl-prove)
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("prove-asdf" ,sbcl-prove-asdf)))
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(inputs
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`(("cl-libsvm-format" ,sbcl-cl-libsvm-format)
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("cl-store" ,sbcl-cl-store)))
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(arguments
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`(;; FIXME: Tests pass but then the check phase crashes
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#:tests? #f))
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(synopsis "Online Machine Learning for Common Lisp")
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(description
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"This library contains a collection of machine learning algorithms for
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online linear classification written in Common Lisp.")
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(home-page "https://github.com/masatoi/cl-online-learning")
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(license license:expat))))
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(define-public cl-online-learning
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(sbcl-package->cl-source-package sbcl-cl-online-learning))
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(define-public ecl-cl-online-learning
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(sbcl-package->ecl-package sbcl-cl-online-learning))
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(define-public sbcl-cl-random-forest
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(let ((commit "85fbdd4596d40e824f70f1b7cf239cf544e49d51")
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(revision "0"))
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(package
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(name "sbcl-cl-random-forest")
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(version (git-version "0.1" revision commit))
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(source
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(origin
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(method git-fetch)
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(uri (git-reference
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(url "https://github.com/masatoi/cl-random-forest.git")
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(commit commit)))
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(file-name (git-file-name name version))
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(sha256
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(base32
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"097xv60i1ndz68sg9p4pc7c5gvyp9i1xgw966b4wwfq3x6hbz421"))))
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(build-system asdf-build-system/sbcl)
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(native-inputs
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`(("prove" ,sbcl-prove)
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("prove-asdf" ,sbcl-prove-asdf)
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("trivial-garbage" ,sbcl-trivial-garbage)))
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(inputs
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`(("alexandria" ,sbcl-alexandria)
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("cl-libsvm-format" ,sbcl-cl-libsvm-format)
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("cl-online-learning" ,sbcl-cl-online-learning)
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("lparallel" ,sbcl-lparallel)))
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(arguments
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`(#:tests? #f)) ; The tests download data from the Internet
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(synopsis "Random Forest and Global Refinement for Common Lisp")
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(description
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"CL-random-forest is an implementation of Random Forest for multiclass
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classification and univariate regression written in Common Lisp. It also
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includes an implementation of Global Refinement of Random Forest.")
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(home-page "https://github.com/masatoi/cl-random-forest")
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(license license:expat))))
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(define-public cl-random-forest
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(sbcl-package->cl-source-package sbcl-cl-random-forest))
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(define-public ecl-cl-random-forest
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(sbcl-package->ecl-package sbcl-cl-random-forest))
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(define-public gloo
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(define-public gloo
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(let ((version "0.0.0") ; no proper version tag
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(let ((version "0.0.0") ; no proper version tag
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(commit "ca528e32fea9ca8f2b16053cff17160290fc84ce")
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(commit "ca528e32fea9ca8f2b16053cff17160290fc84ce")
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