V0.5.6

What's Changed

• Stabilize covariance learning with FillScaleTriL and update config behaviour by @patel-zeel in #163
• Circleci by @thomaspinder in #168
• Versioneer by @thomaspinder in #166
• Address Jax/Jaxlib v0.4.x compatibility, incorporate CircleCI testing workflows, incorporate versioneer. by @thomaspinder in #164

New Contributors

• @patel-zeel made their first contribution in #163

Full Changelog: v0.5.5...v0.5.6

v0.5.5

Depreciate gpjax.Dataset and gpjax.kernels. These objects will be removed in v0.6.0. @thomaspinder

v0.5.4

Implementation of new kernels and a backend move to using a PyTree in place of a Chex dataclass.

What's Changed

• More kernels by @thomaspinder in #148

Full Changelog: v0.5.2...v0.5.4

v0.5.2

What's Changed

• Fix typos in introduction doc. by @jondeaton in #151
• Change MLL to probability transition kernel only. by @daniel-dodd in #153
• Incorporate JaxLinOp with GPJax by @daniel-dodd in #154

New Contributors

• @jondeaton made their first contribution in #151

Full Changelog: v0.5.1...v0.5.2

v0.5.1

Fix stability in Matérn kernels.

v0.5

What's Changed

• Transformations by @daniel-dodd in #109
• Natgrads by @daniel-dodd in #90
• Fix bug in Matern12 kernel by @thomaspinder in #119
• Intro to GP notebooks by @thomaspinder in #117
• Add verbose option. by @daniel-dodd in #116
• Numpyro by @thomaspinder in #122
• Distrax reversion by @thomaspinder in #125
• Kernel compute by @daniel-dodd in #120
• Prevent f64 default by @thomaspinder in #129
• Update w/ Dan comments by @thomaspinder in #130
• Cleanup reqs by @thomaspinder in #131
• Update docs by @thomaspinder in #137
• Improve readability and add comments. by @daniel-dodd in #138
• Move params to the first slot of each function, class, etc. by @daniel-dodd in #139
• V0.5 update by @thomaspinder in #123

Full Changelog: v0.4.13...v0.5

v0.4.13 - Bump docs and dependencies

What's Changed

• Refactor docs as markdown documents by @thomaspinder in #107
• Refactor JaxTyping to be compatible with v0.0.2
• Pin pypa-publish workflow

Full Changelog: v0.4.12...v0.4.13

v0.4.12- Bug fix on bijections

This minor release resolves the issue surrounding Distrax transformations.

v0.4.11 - Parameter seeding

A PRNGKey can now be passed to the initialisation function for reproducible parameter initialisation when parameters are stochastic e.g., RFFs. Further, the return argument of initialise and fit is a dataclass than bundles up the constituent quantities.

v0.4.10

Minor change that fixes a bug in conjugate regression models where the marginal log-likelihood is evaluated on a single datapoint.