opam-version: "2.0"
maintainer: "unixjunkie@sdf.org"
authors: ["Francois BERENGER"]
homepage: "https://github.com/UnixJunkie/orrandomForest"
bug-reports: "https://github.com/UnixJunkie/orrandomForest/issues"
dev-repo: "git+https://github.com/UnixJunkie/orrandomForest.git"
license: "LGPL-2.1-only WITH OCaml-LGPL-linking-exception"
build: [
  ["R" "CMD" "BATCH" "install_randomForest.r"]
  ["R" "CMD" "BATCH" "install_matrix.r"]
  ["jbuilder" "build" "-p" name "-j" jobs]
]
depends: [
  "ocaml"
  "dune"
  "dolog" {< "4.0.0"}
  "conf-r"
  "conf-gnuplot" {with-test}
]
x-ci-accept-failures: ["debian-unstable"]
post-messages: [
"Please interact with R to install needed things in user-space:
R
install.packages('Marix', repos='http://cran.r-project.org')
install.packages('randomForest', repos='http://cran.r-project.org')" {failure}
]
synopsis: "Classification or regression using Random Forests"
description: """
Uses the R randomForest package under the carpet.
This package really fires up and talks to an R interpreter.
Data are exchanged via text files.
For details, cf.
Breiman, L., 2001. Random forests. Machine learning, 45(1), pp.5-32
(DOI = 10.1023/A:1010933404324)."""
url {
  src: "https://github.com/UnixJunkie/orrandomForest/archive/v1.0.0.tar.gz"
  checksum: [
    "sha256=b9c134908e2942668d6822c4f895290dccad627541842f7acd3db13614655612"
    "md5=89e87dbe7d4f8a14d0610b12de5fa5f9"
  ]
}
extra-source "install_randomForest.r" {
  src:
    "https://raw.githubusercontent.com/ocaml/opam-source-archives/main/patches/orrandomForest/install_randomForest.r"
  checksum: [
    "sha256=27d9a59a4fc61b6536f5dd59077daa17725ab9af0804c8e0b3a9d4d8eae00673"
    "md5=c39ce051de6937deb5095a1906d86c0c"
  ]
}
extra-source "install_matrix.r" {
  src:
    "https://raw.githubusercontent.com/ocaml/opam-source-archives/main/patches/orrandomForest/install_matrix.r"
  checksum: [
    "sha256=f9d596d2caae65cdb8440f85f3e903e802643e4d6a639ad5a148727b4fe84d23"
    "md5=ab1c0ae726388159b1315bc9fe61a013"
  ]
}