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1opam-version: "2.0"
2synopsis: "GPR - Library and Application for Gaussian Process Regression"
3description: """
4Gaussian process regression is a modern Bayesian approach to machine learning,
5and GPR implements some of the latest advances in this field."""
6maintainer: ["Markus Mottl <markus.mottl@gmail.com>"]
7authors: ["Markus Mottl <markus.mottl@gmail.com>"]
8license: "LGPL-2.1-or-later WITH OCaml-LGPL-linking-exception"
9homepage: "https://mmottl.github.io/gpr"
10doc: "https://mmottl.github.io/gpr/api"
11bug-reports: "https://github.com/mmottl/gpr/issues"
12depends: [
13 "dune" {>= "2.7"}
14 "ocaml" {>= "4.08"}
15 "core" {>= "v0.13"}
16 "core_unix" {>= "v0.13"}
17 "lacaml" {>= "11.0.0"}
18 "gsl" {>= "1.24.0"}
19 "odoc" {with-doc}
20]
21build: [
22 ["dune" "subst"] {dev}
23 [
24 "dune"
25 "build"
26 "-p"
27 name
28 "-j"
29 jobs
30 "@install"
31 "@runtest" {with-test}
32 "@doc" {with-doc}
33 ]
34]
35dev-repo: "git+https://github.com/mmottl/gpr.git"
36url {
37 src: "https://github.com/mmottl/gpr/releases/download/1.5.2/gpr-1.5.2.tbz"
38 checksum: [
39 "sha256=0886ef0e74d1980fc138ad0acbead229ae902f8ab244fd0717c7ff0cc698705b"
40 "sha512=d2fb5ba194f6ee9fcfb16a54f7f2f1018e09ea1d8ace359a1f2b92a102a78dfb019cd243a1c7caff51e3dc62453316624f7f2635c6a241508dcd3f48f0550e92"
41 ]
42}
43x-commit-hash: "68705b80c3eae57b818cb7a392eddf8b46f9b389"