opam-version: "2.0"
authors: "Chih-Chung Chang and Chih-Jen Lin"
homepage: "https://www.csie.ntu.edu.tw/~cjlin/libsvm/"
#maintainer: "https://www.csie.ntu.edu.tw/~cjlin/index.html"
maintainer: "unixjunkie@sdf.org"
bug-reports: "https://github.com/ocaml/opam-repository/issues"
license: "BSD-3-Clause"
build: [
    [make]
]
install: [
    ["cp" "svm-train"   "%{bin}%/libsvm_train"]
    ["cp" "svm-predict" "%{bin}%/libsvm_predict"]
]
depends: [
  "conf-gcc"
  "conf-g++"
]
available: os != "win32"
synopsis: "User-space installer for libsvm's tools"
description: """
Attempt a user-space installation of libsvm.
While liblinear can be considered a chainsaw for machine learning,
libsvm is a swiss knife in the same field.
If successful, libsvm_train and libsvm_predict will be installed
into opam's bin directory.
Note: libsvm is a C++ software which is required by some OCaml
software in opam-repository.
Having an automatic user-space installer in opam-repository will make those
software easier to install (e.g. even if you don't have root access
to install the libsvm system package).
"""
dev-repo: "git://https://github.com/cjlin1/libsvm.git"
url {
  src: "https://github.com/cjlin1/libsvm/archive/refs/tags/v335.tar.gz"
  checksum: [
    "sha256=f864faaf0e6606aa5eb89b48d76b77db43b501c3b0b1842ae036f9d754e675d9"
  ]
}