gpr

GPR - Library and Application for Gaussian Process Regression
Description

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

Install
Documentation mmottl.github.io Changelog LGPL-2.1-or-later WITH OCaml-LGPL-linking-exception License Edit opam file
Published
22 Nov 2019
Authors
Maintainers
Sources
gpr-1.5.0.tbz
sha256=8b62b7b1ba33f187c01809095492479ac299b9f03f950adea9fc6f70b8646970 sha512=c703978c62421ab3505198fb7d67b4b9a624f8ce0bb9f1a0f418180772f3e9b348257df6e59af440cec69de1dc4d404b52d6cdaad670c1796f558e5882a6d253
Dependencies
gsl >= "1.24.0"
lacaml >= "11.0.0"
core >= "v0.13" & < "v0.15"
base-threads
dune >= "1.10"
ocaml >= "4.08"
Reverse Dependencies