opam-version: "2.0"
authors: "Théophile Bastian <contact@tobast.fr> and Noémie Fong"
maintainer: "contact@tobast.fr"
homepage: "https://github.com/tobast/ORandForest"
bug-reports: "https://github.com/tobast/ORandForest/issues"
dev-repo: "git+https://github.com/tobast/ORandForest.git"
license: "LGPL-2.0-or-later"
build: ["jbuilder" "build" "-p" name "-j" jobs]
depends: [
  "ocaml"
  "jbuilder"
  "oc45"
  "parmap"
]
synopsis: "A random forest classifier based on OC4.5."
description: """
Random forests are an ensemble learning method for classification and
regression. Random forests correct decision trees' habit of over-fitting
to their training set.
Cf. "Breiman, Leo, 2001. Random forests. Machine learning, 45(1), pp.5-32"
for details."""
url {
  src: "https://github.com/tobast/ORandForest/archive/v1.0.0.tar.gz"
  checksum: "md5=c4db62f8692d06e6fe0eea8f7d4d791e"
}
