Package : ocaml-gpr > RPM : ocaml-gpr-1.2.1-2.mga6.x86_64.rpm
Basic items
InstallName | ocaml-gpr |
Version | 1.2.1 |
Release | 2.mga6 |
URL | http://mmottl.github.io/gpr/ |
Group | Development/Other |
Summary | Efficient Gaussian Process Regression in OCaml |
Size | 12MB |
Arch | x86_64 |
License | LGPL-2.1+ with OCaml linking exception |
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
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
Media information
Distribution release | Mageia 6 |
Media name | core-release |
Media arch | x86_64 |
Advanced items
Source RPM | ocaml-gpr-1.2.1-2.mga6.src.rpm |
Build time | 2016-05-23 09:22:30 |
Changelog | View in Sophie |
Files | View in Sophie |
Dependencies | View in Sophie |