opam - gpr.1.2.2

Gaussian process regression is a modern Bayesian approach to machine learning, and GPR implements some of the latest advances in this field

Author	Markus Mottl <markus.mottl@gmail.com>
License	LGPL-2.1-or-later WITH OCaml-LGPL-linking-exception
Published	May 25, 2017
Homepage	http://mmottl.github.io/gpr
Issue Tracker	https://github.com/mmottl/gpr/issues
Maintainer	Markus Mottl <markus.mottl@gmail.com>
Dependencies	ocaml>=4.00.1 base-threads any of core=113.00.00 core=112.35.01 core=112.35.00 core=112.24.01 core=112.24.00 core=112.17.00 core=112.06.02 core=112.06.01 core=112.06.00 core=112.01.01 core=112.01.00 core=111.28.01 core=111.28.00 core=111.25.00 core=111.21.00 core=111.17.00 core=111.13.00 core=111.11.01 core=111.11.00 core=111.08.00 core=111.06.00 core=111.03.00 core=110.01.00 core=109.60.00 core=109.58.00 core=109.55.02 core=109.55.00 core=109.53.01 core=109.53.00 core=109.47.00 core=109.45.00 core=109.42.00 core=109.41.00 core=109.40.00 core=109.38.00 core=109.37.00 core=109.36.00 core=109.35.00 core=109.34.00 core=109.32.00 core=109.31.00 gsl lacaml>=9.3.2 & <10.0.0 ocamlbuildbuild ocamlfindbuild & >=1.3.1
Source [http]	https://github.com/mmottl/gpr/releases/download/v1.2.2/gpr-1.2.2.tar.gz md5=0aaa8fea073258c3696487dad5fc539f
Edit	https://github.com/ocaml/opam-repository/tree/master/packages/gpr/gpr.1.2.2/opam

No package is dependent

gprversion 1.2.2 1.2.11.2.21.3.01.3.11.4.01.4.11.5.0 (latest)