OCaml wrapper for the ranger (C++) random forests implementation

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: oranger_rfr of the (randomized) dataset used to train (default=0.80) number of processes (default=1) default=100 of randomly selected features to use at each split (default=(sqrt(|features|))/|features|) for best mtry in [0.001,0.002,0.005,...,1.0] (incompatible with --mtry) to test e.g. "0.001,0.002,0.005" scores to file set (overrides -p) set (overrides -p) set (overrides -p) of folds of cross validation [--seed <int>: fix random seed] OFF regression plot ON REC curve ON Y-randomization model to file model from file feature id. (cf. end of encoding dict) mode this help message

AuthorFrancois Berenger
LicenseLGPL-2.1-only WITH OCaml-LGPL-linking-exception
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