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1opam-version: "2.0" 2build: [ 3 ["dune" "subst"] {dev} 4 ["dune" "build" "-p" name "-j" jobs] 5 ["dune" "runtest" "-p" name "-j" jobs] {with-test} 6 ["dune" "build" "-p" name "@doc"] {with-doc} 7] 8maintainer: ["Markus Mottl <markus.mottl@gmail.com>"] 9authors: ["Markus Mottl <markus.mottl@gmail.com>"] 10bug-reports: "https://github.com/mmottl/gpr/issues" 11homepage: "https://mmottl.github.io/gpr" 12doc: "https://mmottl.github.io/gpr/api" 13license: "LGPL-2.1-or-later WITH OCaml-LGPL-linking-exception" 14dev-repo: "git+https://github.com/mmottl/gpr.git" 15synopsis: "GPR - Library and Application for Gaussian Process Regression" 16description: """ 17Gaussian process regression is a modern Bayesian approach to machine learning, 18and GPR implements some of the latest advances in this field.""" 19depends: [ 20 "ocaml" {>= "4.08"} 21 "dune" {>= "1.10"} 22 "base-threads" 23 "core" {>= "v0.13" & < "v0.15"} 24 "lacaml" {>= "11.0.0"} 25 "gsl" {>= "1.24.0"} 26] 27url { 28 src: "https://github.com/mmottl/gpr/releases/download/1.5.0/gpr-1.5.0.tbz" 29 checksum: [ 30 "sha256=8b62b7b1ba33f187c01809095492479ac299b9f03f950adea9fc6f70b8646970" 31 "sha512=c703978c62421ab3505198fb7d67b4b9a624f8ce0bb9f1a0f418180772f3e9b348257df6e59af440cec69de1dc4d404b52d6cdaad670c1796f558e5882a6d253" 32 ] 33}