- Name: ocaml-gpr
- Version: 1.2.1
- Release: 2.mga6
- Epoch:
- Group: Development/Other
- License: LGPL-2.1+ with OCaml linking exception
- Url: http://mmottl.github.io/gpr/
- Summary: Efficient Gaussian Process Regression in OCaml
- Architecture: i586
- Size: 10514061
- Distribution: Mageia
- Vendor: Mageia.Org
- Packager: daviddavid <daviddavid>
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
- OptFlags: -O2 -g -pipe -Wformat -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -fstack-protector --param=ssp-buffer-size=4 -fomit-frame-pointer -march=i586 -mtune=generic -fasynchronous-unwind-tables
- Cookie: ecosse.mageia.org 1463987979
- Buildhost: ecosse.mageia.org
Sources packages:
Other version of this rpm:
