orrandomForestversion

Classification or regression using Random Forests

Uses the R randomForest package under the carpet. This package really fires up and talks to an R interpreter. Data are exchanged via text files. For details, cf. Breiman, L., 2001. Random forests. Machine learning, 45(1), pp.5-32 (DOI = 10.1023/A:1010933404324).

AuthorFrancois Berenger
LicenseLGPL-2.1-only WITH OCaml-LGPL-linking-exception
Published
Homepagehttps://github.com/UnixJunkie/orrandomForest
Issue Trackerhttps://github.com/UnixJunkie/orrandomForest/issues
Maintainerunixjunkie@sdf.org
Dependencies
Source [http] https://github.com/UnixJunkie/orrandomForest/archive/v2.0.1.tar.gz
sha256=a0eea0fcf2051fc96e49ffc8c82c7d52b35a8b3ccde63318de13f3e6f5f6463c
md5=d2f65763cd449b3076d807db389c116f
Edithttps://github.com/ocaml/opam-repository/tree/master/packages/orrandomForest/orrandomForest.2.0.1/opam
No package is dependent