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1opam-version: "2.0"
2authors: "Théophile Bastian <contact@tobast.fr> and Noémie Fong"
3maintainer: "contact@tobast.fr"
4homepage: "https://github.com/tobast/ORandForest"
5bug-reports: "https://github.com/tobast/ORandForest/issues"
6dev-repo: "git+https://github.com/tobast/ORandForest.git"
7license: "LGPL-2.0-or-later"
8build: ["jbuilder" "build" "-p" name "-j" jobs]
9depends: [
10 "ocaml"
11 "jbuilder" {>= "1.0+beta7"}
12 "oc45"
13 "parmap"
14]
15synopsis: "A random forest classifier based on OC4.5."
16description: """
17Random forests are an ensemble learning method for classification and
18regression. Random forests correct decision trees' habit of over-fitting
19to their training set.
20Cf. "Breiman, Leo, 2001. Random forests. Machine learning, 45(1), pp.5-32"
21for details."""
22url {
23 src: "https://github.com/tobast/ORandForest/archive/v1.0.0.tar.gz"
24 checksum: [
25 "sha256=ecb0d2944c1a5d48f4bc6e219643e12430ec0c27b5ff2219e8e9cb55c813c8ab"
26 "md5=c4db62f8692d06e6fe0eea8f7d4d791e"
27 ]
28}