this repo has no description
Merge pull request #26985 from UnixJunkie/libsvm_tools_335
new file: packages/libsvm_tools/3.35/opam
authored by
Marcello Seri
and committed by
GitHub
305a9402
fed925f1
+39
+39
packages/libsvm_tools/libsvm_tools.3.35/opam
+39
packages/libsvm_tools/libsvm_tools.3.35/opam
···
1
+
opam-version: "2.0"
2
+
authors: "Chih-Chung Chang and Chih-Jen Lin"
3
+
homepage: "https://www.csie.ntu.edu.tw/~cjlin/libsvm/"
4
+
#maintainer: "https://www.csie.ntu.edu.tw/~cjlin/index.html"
5
+
maintainer: "unixjunkie@sdf.org"
6
+
bug-reports: "https://github.com/ocaml/opam-repository/issues"
7
+
license: "BSD-3-Clause"
8
+
build: [
9
+
[make]
10
+
]
11
+
install: [
12
+
["cp" "svm-train" "%{bin}%/libsvm_train"]
13
+
["cp" "svm-predict" "%{bin}%/libsvm_predict"]
14
+
]
15
+
depends: [
16
+
"conf-gcc"
17
+
"conf-g++"
18
+
]
19
+
available: os != "win32"
20
+
synopsis: "User-space installer for libsvm's tools"
21
+
description: """
22
+
Attempt a user-space installation of libsvm.
23
+
While liblinear can be considered a chainsaw for machine learning,
24
+
libsvm is a swiss knife in the same field.
25
+
If successful, libsvm_train and libsvm_predict will be installed
26
+
into opam's bin directory.
27
+
Note: libsvm is a C++ software which is required by some OCaml
28
+
software in opam-repository.
29
+
Having an automatic user-space installer in opam-repository will make those
30
+
software easier to install (e.g. even if you don't have root access
31
+
to install the libsvm system package).
32
+
"""
33
+
dev-repo: "git://https://github.com/cjlin1/libsvm.git"
34
+
url {
35
+
src: "https://github.com/cjlin1/libsvm/archive/refs/tags/v335.tar.gz"
36
+
checksum: [
37
+
"sha256=f864faaf0e6606aa5eb89b48d76b77db43b501c3b0b1842ae036f9d754e675d9"
38
+
]
39
+
}