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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 "base-threads"
16 "core" {>= "v0.13"}
17 "core_unix" {>= "v0.13"}
18 "lacaml" {>= "11.0.0"}
19 "gsl" {>= "1.24.0"}
20 "odoc" {with-doc}
21]
22build: [
23 ["dune" "subst"] {dev}
24 [
25 "dune"
26 "build"
27 "-p"
28 name
29 "-j"
30 jobs
31 "@install"
32 "@runtest" {with-test}
33 "@doc" {with-doc}
34 ]
35]
36dev-repo: "git+https://github.com/mmottl/gpr.git"
37url {
38 src: "https://github.com/mmottl/gpr/releases/download/1.5.1/gpr-1.5.1.tbz"
39 checksum: [
40 "sha256=9527297e5774378384e283e209d9b78ff1eab5c75ab54f14ad8cec8ff0634b03"
41 "sha512=1a8df8bc48edb8607c7222370642912b15debbb6ee4020056e440c80bf3e5d63bfa561fc83286fc8838bac8dbc958d0e26735a5f34b415821ae66c4a8e90f74d"
42 ]
43}
44x-commit-hash: "ebb1d1e604050d5ac8400ccf45c6b1b8c6869992"