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

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for MarcusMichaelNoack from gravatar.com MarcusMichaelNoack Avatar for ronpandolfi from gravatar.com ronpandolfi

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v3 or later (GPLv3+) (*** License Agreement *** GPL v3 License fvGP Copyright (c) 2021, The Regents of the University of...)
  • Author: Marcus Michael Noack
  • Maintainer: Marcus Michael Noack
  • Tags adaptive, autonomous, gui, qt, self driving
  • Requires: Python >=3.10
  • Provides-Extra: docs, plotting, tests
Classifiers

Project description

fvGP

PyPI Documentation Status fvGP CI Codecov PyPI - License DOI

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

It is recommended to use this package via gpCAM.

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

fvGP holds the world record for exact large-scale Gaussian Processes!

Credits

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

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for MarcusMichaelNoack from gravatar.com MarcusMichaelNoack Avatar for ronpandolfi from gravatar.com ronpandolfi

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v3 or later (GPLv3+) (*** License Agreement *** GPL v3 License fvGP Copyright (c) 2021, The Regents of the University of...)
  • Author: Marcus Michael Noack
  • Maintainer: Marcus Michael Noack
  • Tags adaptive, autonomous, gui, qt, self driving
  • Requires: Python >=3.10
  • Provides-Extra: docs, plotting, tests
Classifiers

Release history Release notifications | RSS feed

7.4.9 yanked

7.4.8 yanked

4.5.4

4.5.3

This version

4.5.2

4.5.1

4.5.0

4.4.3

4.4.2

4.4.1

4.4.0

4.3.5

4.3.4

4.3.3

4.3.2

4.3.1

4.3.0

4.2.14

4.2.13

4.2.12

4.2.11

4.2.10

4.2.9

4.2.8

4.2.7

4.2.6

4.2.5

4.2.4

4.2.3

4.2.2

4.2.1

4.2.0

4.1.3

4.1.2

4.1.1

4.1.0

4.0.12

4.0.11

4.0.10

4.0.9

4.0.8

4.0.7

4.0.6

4.0.5

4.0.4

4.0.3

4.0.2

4.0.1

4.0.0

3.3.8

3.3.7

3.3.6

3.3.5

3.3.4

3.3.3

3.3.2

3.3.1

3.3.0

3.2.11

3.2.8

3.2.7

3.2.6

3.2.5

3.2.4

3.2.3

3.2.2

3.2.1

3.2.0

3.1.3

3.1.2

3.1.1

3.1.0

3.0.5

3.0.4

3.0.3

3.0.2

3.0.1

3.0.0

2.3.8

2.3.7

2.3.6

2.3.5

2.3.4

2.3.3

2.3.2

2.3.1

2.3.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fvgp-4.5.2.tar.gz (58.9 kB view details)

Uploaded Source

Built Distribution

fvgp-4.5.2-py3-none-any.whl (65.7 kB view details)

Uploaded Python 3

File details

Details for the file fvgp-4.5.2.tar.gz.

File metadata

  • Download URL: fvgp-4.5.2.tar.gz
  • Upload date:
  • Size: 58.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for fvgp-4.5.2.tar.gz
Algorithm Hash digest
SHA256 786c1c4a99c00e48addbed98b4cb1c75fac428b5503e5ac85d808feac472e9e5
MD5 8d9ac81902c31c073f7cb006fcc0b657
BLAKE2b-256 7761ce55839837fe2b976a481a0466eeaf363a60cbe50185a8082306af86b1d8

See more details on using hashes here.

File details

Details for the file fvgp-4.5.2-py3-none-any.whl.

File metadata

  • Download URL: fvgp-4.5.2-py3-none-any.whl
  • Upload date:
  • Size: 65.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for fvgp-4.5.2-py3-none-any.whl
Algorithm Hash digest
SHA256 7e5ee3e52a05d8671968bc52dc9186320813366e2fb7b4d265d1d868e50e5704
MD5 9b1195cc1cbe3507ece8267ceb1bbe1e
BLAKE2b-256 3ead789fe656d7e13c49f5581aef9234fed478bf892ec1fcb233d149492e407e

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page