Package : ocaml-gpr
Package details
Summary: Efficient Gaussian Process Regression in OCaml
Description:
This OCaml-library, which also comes with an elaborate example application,
implements some of the newest approximation algorithms (e.g. SPGP) for
scalable Gaussian process regression for arbitrary covariance functions.
Here is an example graph showing the fit of such a sparse Gaussian process
to a nonlinear function:
http://cdn.bitbucket.org/mmottl/gpr/downloads/fit.png
URL: https://bitbucket.org/mmottl/gpr
License: LGPL-2.1+ with OCaml linking exception
Maintainer: nobody
Description:
This OCaml-library, which also comes with an elaborate example application,
implements some of the newest approximation algorithms (e.g. SPGP) for
scalable Gaussian process regression for arbitrary covariance functions.
Here is an example graph showing the fit of such a sparse Gaussian process
to a nonlinear function:
http://cdn.bitbucket.org/mmottl/gpr/downloads/fit.png
URL: https://bitbucket.org/mmottl/gpr
License: LGPL-2.1+ with OCaml linking exception
Maintainer: nobody
List of RPMs
- ocaml-gpr-1.0.2-5.mga4.src.rpm (Mageia 4, i586 media, core-release)