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 ***)
  • Author: Marcus Michael Noack
  • Maintainer: Marcus Michael Noack
  • Tags adaptive , autonomous , gui , qt , self driving
  • Requires: Python >=3.11
  • Provides-Extra: docs , plotting , tests
Classifiers
Report project as malware

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 capabilities for stochastic manifold learning

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

Credits

This code was developed with help from Ron Pandolfi (LBNL), Mark Risser (LBNL), Hengrui Luo (Rice U.), and Vardaan Tekriwal (UCB).

Additional contributions and insights came from across the community, in particular, Kevin Yager, Masafumi Fukuto, and their teams (Brookhaven National Lab).

We acknowledge support from several DOE ASCR, BER, and BES projects, including CAMERA (James Sethian), SPECTRA (Sherry Li), and CASCADE (Bill Collins), as well as support directly from Lawrence Berkeley National Laboratory.

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 ***)
  • Author: Marcus Michael Noack
  • Maintainer: Marcus Michael Noack
  • Tags adaptive , autonomous , gui , qt , self driving
  • Requires: Python >=3.11
  • Provides-Extra: docs , plotting , tests
Classifiers

Release history Release notifications | RSS feed

7.4.9 yanked

7.4.8 yanked

6.0.1 yanked

4.8.3

This version

4.8.2

4.8.1

4.8.0

4.7.9

4.7.8

4.7.7

4.7.6

4.7.5

4.7.4

4.7.3

4.7.2

4.7.1

4.7.0

4.6.11

4.6.10

4.6.9

4.6.8

4.6.7

4.6.6

4.6.5

4.6.4

4.6.3

4.6.2

4.6.1

4.6.0

4.5.8

4.5.7

4.5.6

4.5.5

4.5.4

4.5.3

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-4.8.2.tar.gz (131.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

fvgp-4.8.2-py3-none-any.whl (119.1 kB view details)

Uploaded Python 3

File details

Details for the file fvgp-4.8.2.tar.gz.

File metadata

  • Download URL: fvgp-4.8.2.tar.gz
  • Upload date:
  • Size: 131.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for fvgp-4.8.2.tar.gz
Algorithm Hash digest
SHA256 3848424a7826a3837e6d146697d0979528eb8476aa83b292a90d1d5f2bbf64c2
MD5 7747c91d18e71b928d90edd3426a43cf
BLAKE2b-256 1520c17689e7999cfcd3d4b7db31ecc2c2923435cfb992076adb3de0613efcac

See more details on using hashes here.

File details

Details for the file fvgp-4.8.2-py3-none-any.whl.

File metadata

  • Download URL: fvgp-4.8.2-py3-none-any.whl
  • Upload date:
  • Size: 119.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for fvgp-4.8.2-py3-none-any.whl
Algorithm Hash digest
SHA256 311177087406e5c220e1a9758f2068a048fb59cd951613495b79c14a7d086845
MD5 b7fa83d07f03c8abfd6f498803b6e01c
BLAKE2b-256 f3a3681081e2a5c8195441754ebc5de22e89a8157340b69d165929aa02d68555

See more details on using hashes here.

Supported by

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