GPJax aims to provide a low-level interface to Gaussian process models. Code is written entirely in Jax 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-0.3.8.tar.gz (18.9 kB view details)

Uploaded Source

Built Distribution

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

GPJax-0.3.8-py3-none-any.whl (29.2 kB view details)

Uploaded Python 3

File details

Details for the file GPJax-0.3.8.tar.gz.

File metadata

  • Download URL: GPJax-0.3.8.tar.gz
  • Upload date:
  • Size: 18.9 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-0.3.8.tar.gz
Algorithm Hash digest
SHA256 c580bf5f455cdb70af7027115c324f162a2d8c7883f7aaf88383a2651d12b4c5
MD5 e2930ff095a50a7c91ec8e7044089a38
BLAKE2b-256 6360b6bf29747701af5bf2e7ce74d6aa918a0c3055a04f3aca7b1170f6a47af0

See more details on using hashes here.

File details

Details for the file GPJax-0.3.8-py3-none-any.whl.

File metadata

  • Download URL: GPJax-0.3.8-py3-none-any.whl
  • Upload date:
  • Size: 29.2 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-0.3.8-py3-none-any.whl
Algorithm Hash digest
SHA256 013644e82b15e189135bbd7c62ff671371330803d3da8f01520711fb8a41ffa3
MD5 a394c2c65d8343953cdfdc69a27cc4c1
BLAKE2b-256 42551466a378030ca1a0e84aa853a11bf2d39c71bde6f2b6ca10c6763f8b557d

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

This release

0.3.8 This release

2 files

0.3.7

2 files

0.3.6

2 files

0.3.5

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