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1opam-version: "2.0"
2maintainer: "unixjunkie@sdf.org"
3authors: ["Francois Berenger"]
4homepage: "https://github.com/UnixJunkie/orrandomForest"
5bug-reports: "https://github.com/UnixJunkie/orrandomForest/issues"
6dev-repo: "git+https://github.com/UnixJunkie/orrandomForest.git"
7license: "LGPL-2.1-only WITH OCaml-LGPL-linking-exception"
8build: [
9 ["dune" "build" "-p" name "-j" jobs]
10]
11install: [
12 ["R" "CMD" "BATCH" "install_randomForest.r"]
13 ["R" "CMD" "BATCH" "install_matrix.r"]
14]
15depends: [
16 "ocaml"
17 "dune"
18 "dolog" {>= "4.0.0"}
19 "conf-r"
20 "conf-gnuplot" {with-test}
21 "cpm" {with-test}
22]
23x-ci-accept-failures: ["debian-unstable"]
24post-messages: [
25"Please interact with R to install needed things in user-space:
26R
27install.packages('Marix', repos='http://cran.r-project.org')
28install.packages('randomForest', repos='http://cran.r-project.org')" {failure}
29]
30synopsis: "Classification or regression using Random Forests"
31description: """
32Uses the R randomForest package under the carpet.
33This package really fires up and talks to an R interpreter.
34Data are exchanged via text files.
35For details, cf.
36Breiman, L., 2001. Random forests. Machine learning, 45(1), pp.5-32
37(DOI = 10.1023/A:1010933404324)."""
38url {
39 src: "https://github.com/UnixJunkie/orrandomForest/archive/v2.0.1.tar.gz"
40 checksum: [
41 "sha256=a0eea0fcf2051fc96e49ffc8c82c7d52b35a8b3ccde63318de13f3e6f5f6463c"
42 "md5=d2f65763cd449b3076d807db389c116f"
43 ]
44}
45extra-source "install_randomForest.r" {
46 src:
47 "https://raw.githubusercontent.com/ocaml/opam-source-archives/main/patches/orrandomForest/install_randomForest.r"
48 checksum: [
49 "sha256=27d9a59a4fc61b6536f5dd59077daa17725ab9af0804c8e0b3a9d4d8eae00673"
50 "md5=c39ce051de6937deb5095a1906d86c0c"
51 ]
52}
53extra-source "install_matrix.r" {
54 src:
55 "https://raw.githubusercontent.com/ocaml/opam-source-archives/main/patches/orrandomForest/install_matrix.r"
56 checksum: [
57 "sha256=f9d596d2caae65cdb8440f85f3e903e802643e4d6a639ad5a148727b4fe84d23"
58 "md5=ab1c0ae726388159b1315bc9fe61a013"
59 ]
60}