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 (GPLv3) (GNU General Public License v3)
  • Author: Marcus Michael Noack
  • Tags fvgp
  • Requires: Python >=3.9
Classifiers

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

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.

======= History

0.1.0 (2020-08-07)

  • First release on PyPI.

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 (GPLv3) (GNU General Public License v3)
  • Author: Marcus Michael Noack
  • Tags fvgp
  • Requires: Python >=3.9
Classifiers

Release history Release notifications | RSS feed

7.4.9 yanked

7.4.8 yanked

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

This version

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-4.0.8.tar.gz (2.7 MB view details)

Uploaded Source

Built Distribution

fvgp-4.0.8-py2.py3-none-any.whl (51.2 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file fvgp-4.0.8.tar.gz.

File metadata

  • Download URL: fvgp-4.0.8.tar.gz
  • Upload date:
  • Size: 2.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for fvgp-4.0.8.tar.gz
Algorithm Hash digest
SHA256 8aab1907294ec72048bab50a54a4aefa17822ff32609361d73d7f88bb6587977
MD5 9d0e99e3982e09fc045b1ef21c1846b6
BLAKE2b-256 98ce3bbd0791215be88c6b1cad3f81709edb56ef0c6983fc220a9992de7f5b2b

See more details on using hashes here.

File details

Details for the file fvgp-4.0.8-py2.py3-none-any.whl.

File metadata

  • Download URL: fvgp-4.0.8-py2.py3-none-any.whl
  • Upload date:
  • Size: 51.2 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for fvgp-4.0.8-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 10ea59e31d1498ea77509d5fdc4ba49d1bedd6ae994bc81aa1a2f207bfb2ab70
MD5 cfc0559b86e4f32e37d44d746236e762
BLAKE2b-256 4715f45dab4e7a57bf37a4da87c67c6fa564360feba5fa1af878c42ded18dbec

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