opam-version: "2.0"
build: [
  ["dune" "subst"] {pinned}
  ["dune" "build" "-p" name "-j" jobs]
  ["dune" "runtest" "-p" name "-j" jobs] {with-test}
  ["dune" "build" "-p" name "@doc"] {with-doc}
]
maintainer: ["Markus Mottl <markus.mottl@gmail.com>"]
authors: ["Markus Mottl <markus.mottl@gmail.com>"]
bug-reports: "https://github.com/mmottl/gpr/issues"
homepage: "https://mmottl.github.io/gpr"
doc: "https://mmottl.github.io/gpr/api"
license: "LGPL-2.1+ with OCaml linking exception"
dev-repo: "git+https://github.com/mmottl/gpr.git"
synopsis: "GPR - Library and Application for Gaussian Process Regression"
description: """
Gaussian process regression is a modern Bayesian approach to machine learning,
and GPR implements some of the latest advances in this field."""
depends: [
  "ocaml" {>= "4.08"}
  "dune" {>= "1.10"}
  "base-threads"
  "core" {>= "v0.13" & < "v0.15"}
  "lacaml" {>= "11.0.0"}
  "gsl" {>= "1.24.0"}
]
url {
  src: "https://github.com/mmottl/gpr/releases/download/1.5.0/gpr-1.5.0.tbz"
  checksum: [
    "sha256=8b62b7b1ba33f187c01809095492479ac299b9f03f950adea9fc6f70b8646970"
    "sha512=c703978c62421ab3505198fb7d67b4b9a624f8ce0bb9f1a0f418180772f3e9b348257df6e59af440cec69de1dc4d404b52d6cdaad670c1796f558e5882a6d253"
  ]
}
