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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}