Python package for highly flexible function-valued Gaussian processes (fvGP)

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License: GNU General Public License v3 (GPLv3) (GNU General Public License v3)

Author: Marcus Michael Noack

Tags fvgp

Requires: Python >=3.7

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Project description

fvGP

PyPI Documentation Status fvGP CI Codecov PyPI - License DOI

Python package for highly flexible function-valued Gaussian processes (fvGP)

Specialties: Extreme-Scale GPs, GPs Tailored for HPC training, Advanced Kernel Designs, Domain-Aware Stochastic Function Approximation Coming soon: All those advancements for stochastic manifold learning

Credits

This package uses the HGDL package of David Perryman and Marcus Noack, which is based on the HGDN algorithm by Noack and Funke.

======= History

0.1.0 (2020-08-07)

  • First release on PyPI.

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License: GNU General Public License v3 (GPLv3) (GNU General Public License v3)

Author: Marcus Michael Noack

Tags fvgp

Requires: Python >=3.7

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7.4.9 yanked

7.4.8 yanked

4.2.1

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