Metadata-Version: 2.1
Name: fvgp
Version: 4.0.2
Summary: Python package for highly flexible function-valued Gaussian processes (fvGP)
Home-page: https://github.com/MarcusMichaelNoack/fvgp
Author: Marcus Michael Noack
Author-email: MarcusNoack@lbl.gov
License: GNU General Public License v3
Keywords: fvgp
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
License-File: COPYING
License-File: AUTHORS.rst
Requires-Dist: wheel
Requires-Dist: versioneer
Requires-Dist: matplotlib
Requires-Dist: plotly
Requires-Dist: scipy ==1.11.2
Requires-Dist: numpy ==1.25.2
Requires-Dist: dask >=2021.6.2
Requires-Dist: distributed >=2021.6.2
Requires-Dist: hgdl ==2.1.2
Requires-Dist: notebook
Requires-Dist: loguru
Requires-Dist: imate
Provides-Extra: docs
Requires-Dist: sphinx ; extra == 'docs'
Requires-Dist: sphinx-rtd-theme ; extra == 'docs'
Requires-Dist: myst-parser ; extra == 'docs'
Requires-Dist: myst-nb ; extra == 'docs'
Requires-Dist: sphinx-panels ; extra == 'docs'
Requires-Dist: autodocs ; extra == 'docs'
Requires-Dist: jupytext ; extra == 'docs'
Provides-Extra: tests
Requires-Dist: pytest ; extra == 'tests'
Requires-Dist: codecov ; extra == 'tests'
Requires-Dist: pytest-cov ; extra == 'tests'

# fvGP

[![PyPI](https://img.shields.io/pypi/v/fvGP)](https://pypi.org/project/fvgp/)
[![Documentation Status](https://readthedocs.org/projects/gpcam/badge/?version=latest)](https://gpcam.readthedocs.io/en/latest/?badge=latest)
[![fvGP CI](https://github.com/lbl-camera/fvGP/actions/workflows/fvGP-CI.yml/badge.svg)](https://github.com/lbl-camera/fvGP/actions/workflows/fvGP-CI.yml)
[![Codecov](https://img.shields.io/codecov/c/github/lbl-camera/fvGP)](https://app.codecov.io/gh/lbl-camera/fvGP)
[![PyPI - License](https://img.shields.io/badge/license-GPL%20v3-lightgrey)](https://pypi.org/project/fvgp/)
[<img src="https://img.shields.io/badge/slack-@gpCAM-purple.svg?logo=slack">](https://gpCAM.slack.com/)
[![DOI](https://zenodo.org/badge/434769505.svg)](https://zenodo.org/badge/latestdoi/434769505)


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](https://www.sciencedirect.com/science/article/pii/S037704271730225X) algorithm by Noack and Funke.


=======
History
=======

0.1.0 (2020-08-07)
------------------

* First release on PyPI.
