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anil.recoil.org
1opam-version: "2.0"
2authors: "Chih-Chung Chang and Chih-Jen Lin"
3homepage: "https://www.csie.ntu.edu.tw/~cjlin/libsvm/"
4#maintainer: "https://www.csie.ntu.edu.tw/~cjlin/index.html"
5maintainer: "unixjunkie@sdf.org"
6bug-reports: "https://github.com/ocaml/opam-repository/issues"
7license: "BSD-3-Clause"
8build: [
9 [make]
10]
11install: [
12 ["cp" "svm-train" "%{bin}%/libsvm_train"]
13 ["cp" "svm-predict" "%{bin}%/libsvm_predict"]
14]
15depends: [
16 "conf-gcc"
17 "conf-g++"
18]
19available: os != "win32"
20synopsis: "User-space installer for libsvm's tools"
21description: """
22Attempt a user-space installation of libsvm.
23While liblinear can be considered a chainsaw for machine learning,
24libsvm is a swiss knife in the same field.
25If successful, libsvm_train and libsvm_predict will be installed
26into opam's bin directory.
27Note: libsvm is a C++ software which is required by some OCaml
28software in opam-repository.
29Having an automatic user-space installer in opam-repository will make those
30software easier to install (e.g. even if you don't have root access
31to install the libsvm system package).
32"""
33dev-repo: "git://https://github.com/cjlin1/libsvm.git"
34url {
35 src: "https://github.com/cjlin1/libsvm/archive/refs/tags/v335.tar.gz"
36 checksum: [
37 "sha256=f864faaf0e6606aa5eb89b48d76b77db43b501c3b0b1842ae036f9d754e675d9"
38 ]
39}