opam-version: "2.0"
maintainer: "unixjunkie@sdf.org"
authors: ["Francois Berenger"]
homepage: "https://github.com/UnixJunkie/oranger"
bug-reports: "https://github.com/UnixJunkie/oranger/issues"
dev-repo: "git+https://github.com/UnixJunkie/oranger.git"
license: "LGPL-2.1-only WITH OCaml-LGPL-linking-exception"
build: [
  ["dune" "build" "-p" name "-j" jobs]
  ["tar" "xzf" "0.9.11.tar.gz"]
  ["mkdir" "ranger-0.9.11/cpp_version/build"]
  ["sh" "-c" "cd ranger-0.9.11/cpp_version/build && %{conf-cmake:cmd}% ../"]
  [make "-C" "ranger-0.9.11/cpp_version/build"]
]
install: [
  ["cp" "ranger-0.9.11/cpp_version/build/ranger" "%{bin}%/ml_rf_ranger"]
]
depends: [
  "dune" {>= "1.0.0"}
  "conf-cmake" {build}
  "re" {>= "1.9.0"}
  "dolog" {>= "6.0.0"}
  "batteries" {>= "3.3.0"}
  "minicli" {>= "5.0.2"}
  "cpm" {>= "12.0.0"}
  "line_oriented" {>= "1.0.0"}
  "molenc" {>= "16.0.0"}
  "parany" {>= "12.0.3"}
]
depopts: [
  "conf-gnuplot"
]
synopsis: "OCaml wrapper for the ranger (C++) random forests implementation"
description: """
Ranger is run from the command line and data are exchanged via text files.
This is quick and dirty, not a clean OCaml interface to ranger.
The oranger_rfr program allows to train/test a random-forests regressor model.

$ oranger_rfr
usage:
usage:
oranger_rfr  [-p <float>]: proportion of the (randomized) dataset
  used to train (default=0.80)
  [-np <int>]: max number of processes (default=1)
  [-n <int>]: |RF|; default=100
  [--mtry <float>]: proportion of randomly selected features
  to use at each split (cf. ranger's doc for default)
  [--scan-mtry]: scan for best mtry in [0.001,0.002,0.005,...,1.0]
  (incompatible with --mtry)
  [--mtry-range <string>]: mtrys to test e.g. "0.001,0.002,0.005"
  [-o <filename>]: output scores to file
  [--train <train.txt>]: training set (overrides -p)
  [--valid <valid.txt>]: validation set (overrides -p)
  [--test <test.txt>]: test set (overrides -p)
  [--NxCV <int>]: number of folds of cross validation
  [--seed <int>: fix random seed]
  [--no-regr-plot]: turn OFF regression plot
  [--rec-plot]: turn ON REC curve
  [--y-rand]: turn ON Y-randomization
  [-s <filename>]: save model to file
  [-l <filename>]: load model from file
  [--max-feat <int>]: max feature id.  (cf. end of encoding dict)
  [-v]: verbose/debug mode
  [-h|--help]: show this help message
"""
extra-source "0.9.11.tar.gz" {
  src: "https://github.com/imbs-hl/ranger/archive/0.9.11.tar.gz"
  checksum: [
    "sha256=8f37ece3ced9eeb86373199028a201b5d3bc2e27ebaffaf4f0075bc4b10a93ff"
    "md5=cf770dfdde5ef250bfd561ef2b0758ee"
  ]
}
url {
  src: "https://github.com/UnixJunkie/oranger/archive/v4.3.1.tar.gz"
  checksum: [
    "sha256=9394f59819bae81f042819641dfb6e4b71f1fa459e298c111fbce151370a5e51"
    "md5=3979da7ad6c520cf045845ee79e5b8f6"
  ]
}