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GPR - Library and Application for Gaussian Process Regression
mmottl.github.io Readme Changelog LGPL-2.1-or-later WITH OCaml-LGPL-linking-exception License Edit opam file
OCaml-GPR - Efficient Gaussian Process Regression in OCaml
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:
Please refer to the GPR manual
for further details and to the online API
documentation as programming reference.
Contact Information and Contributing
Please submit bugs reports, feature requests, contributions and similar to
the GitHub issue tracker.
Up-to-date information is available at: https://mmottl.github.io/gpr
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