commit f8393126dd2e17fe47227f5fe23396d63793c909 · anil.recoil.org/opam-repository

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packages/libsvm_tools/3.35/opam
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       opam-version: "2.0"

     

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       authors: "Chih-Chung Chang and Chih-Jen Lin"

     

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       homepage: "https://www.csie.ntu.edu.tw/~cjlin/libsvm/"

     

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       #maintainer: "https://www.csie.ntu.edu.tw/~cjlin/index.html"

     

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       maintainer: "unixjunkie@sdf.org"

     

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       bug-reports: "https://github.com/ocaml/opam-repository/issues"

     

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       license: "BSD-3-Clause"

     

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       build: [

     

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           [make]

     

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       ]

     

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       install: [

     

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           ["cp" "svm-train"   "%{bin}%/libsvm_train"]

     

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           ["cp" "svm-predict" "%{bin}%/libsvm_predict"]

     

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       ]

     

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       depends: [

     

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         "conf-gcc"

     

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         "conf-g++"

     

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       ]

     

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       available: os != "win32"

     

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       synopsis: "User-space installer for libsvm's tools"

     

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       description: """

     

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       Attempt a user-space installation of libsvm.

     

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       While liblinear can be considered a chainsaw for machine learning,

     

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       libsvm is a swiss knife in the same field.

     

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       If successful, libsvm_train and libsvm_predict will be installed

     

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       into opam's bin directory.

     

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       Note: libsvm is a C++ software which is required by some OCaml

     

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       software in opam-repository.

     

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       Having an automatic user-space installer in opam-repository will make those

     

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       software easier to install (e.g. even if you don't have root access

     

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       to install the libsvm system package).

     

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       """

     

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       dev-repo: "git://https://github.com/cjlin1/libsvm.git"

     

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       url {

     

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         src: "https://github.com/cjlin1/libsvm/archive/refs/tags/v335.tar.gz"

     

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         checksum: [

     

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           "sha256=f864faaf0e6606aa5eb89b48d76b77db43b501c3b0b1842ae036f9d754e675d9"

     

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         ]

     

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       }