GPJax aims to provide a low-level interface to Gaussian process models. Code is written entirely in Jax and Objax to enhance readability, and structured so as to allow researchers to easily extend the code to suit their own needs. When defining GP prior in GPJax, the user need only specify a mean and kernel function. A GP posterior can then be realised by computing the product of our prior with a likelihood function. The idea behind this is that the code should be as close as possible to the maths that we would write on paper when working with GP models.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.18.0)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for thomaspinder from gravatar.com thomaspinder

Credits

Author: Thomas Pinder

License

LICENSE

Tags

gaussian-processes jax machine-learning bayesian

Report project as malware

Download files

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

Source Distribution

GPJax-0.3.5.tar.gz (17.5 kB view details)

Uploaded Source

Built Distribution

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

GPJax-0.3.5-py3-none-any.whl (27.2 kB view details)

Uploaded Python 3

File details

Details for the file GPJax-0.3.5.tar.gz.

File metadata

  • Download URL: GPJax-0.3.5.tar.gz
  • Upload date:
  • Size: 17.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.6.9

File hashes

Hashes for GPJax-0.3.5.tar.gz
Algorithm Hash digest
SHA256 b7f248d2a370815810b2d075416711f09354d70a2ce19140fe0760b306d12ce0
MD5 b378b9f583401313be8ac14678a6a39b
BLAKE2b-256 61e76f3ee719c287c0a4e1ea325dae3187739f59078808bb6c458a7218616991

See more details on using hashes here.

File details

Details for the file GPJax-0.3.5-py3-none-any.whl.

File metadata

  • Download URL: GPJax-0.3.5-py3-none-any.whl
  • Upload date:
  • Size: 27.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.6.9

File hashes

Hashes for GPJax-0.3.5-py3-none-any.whl
Algorithm Hash digest
SHA256 9e807e88d9162aa600b184af689a7bc5e4ec2383e02d56f6ed4ecd1d8590629d
MD5 8324263c97f80cb2a3b21030dda478bc
BLAKE2b-256 fb5e8cf8261f1810c22866f6cea75b49998addb08430398327a86f4f36b00c2e

See more details on using hashes here.

Release history Release notifications | RSS feed

0.18.0

2 files

0.17.0

2 files

0.15.0

2 files

0.14.0

2 files

Pre-release

0.14.0rc1

2 files

0.13.6

2 files

0.13.5

2 files

0.13.4

2 files

0.13.3

2 files

0.13.2

2 files

0.13.1

2 files

0.13.0

2 files

0.12.2

2 files

0.12.0

2 files

0.11.2

2 files

0.11.1

2 files

0.11.0

2 files

0.10.2

2 files

0.10.1

2 files

0.10.0

2 files

0.9.5

2 files

0.9.4

2 files

0.9.3

2 files

0.9.2

2 files

0.9.1

2 files

0.9.0

2 files

0.8.2

2 files

0.8.1

2 files

0.8.0

2 files

0.7.3

2 files

0.7.2

2 files

0.7.1

2 files

0.7.0

2 files

0.6.9

2 files

0.6.8

2 files

0.6.7

2 files

0.6.6

2 files

0.6.5

2 files

0.6.4

2 files

0.6.3

2 files

0.6.2

2 files

0.6.1

2 files

Yanked

0.6

2 files

Yanked reason: Jaxlib release issue on M1

0.5.9

2 files

0.5.8

2 files

0.5.7

2 files

0.5.6

2 files

0.5.5

1 file

0.5.4

1 file

0.5.3

1 file

0.5.2

1 file

0.5.1

1 file

0.5.0

1 file

0.4.13

1 file

0.4.12

1 file

0.4.11

1 file

0.4.10

1 file

0.4.9

1 file

0.4.8

1 file

0.4.7

2 files

0.4.6

2 files

0.4.5

2 files

0.4.3

2 files

0.4.2

2 files

0.4.1

2 files

0.4.0

2 files

0.3.8

2 files

0.3.7

2 files

0.3.6

2 files

This release

0.3.5 This release

2 files

0.3.4

2 files

0.3.3

2 files

0.3.2

2 files

0.3.1

2 files

0.3.0

2 files

0.2.0

2 files

0.1.6

2 files

0.1.5

2 files

0.1.4

2 files

0.1.3

2 files

0.1.2

2 files

0.1.1

2 files

0.1.0

2 files

0.0.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page