Merge pull request ocaml#26985 from UnixJunkie/libsvm_tools_335

new file:   packages/libsvm_tools/3.35/opam

packages/libsvm_tools/libsvm_tools.3.35/opam

@@ -0,0 +1,39 @@
+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: "[email protected]"
+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"
+  ]
+}