Gpjax

Latest version: v0.9.3

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0.4.9

Creating a release for Zenodo archiving and JOSS publication.

0.4.8

Added implementation and notebook for Titsias 2009.

0.4.6

In this release the following approaches have been added
- Sparse variational GPs
- Graph kernels
- Variational family abstraction
- A more flexible likelihood representation
- Docs on barycentres of GPs, deep kernels, graph kernels and sparse regression

Contributors - thomaspinder Daniel-Dodd

0.4

Major changes
* Parameters are now refactored to impose a greater degree of order and structure.
* Multiple dispatch has been removed for easier extendability

Minor changes
* Optax integration provided
* Matern and Polynomial kernels added
* Constant mean function added
* Global parameter updates
* Significantly slimmer parameter handling code
*

0.3

Major changes

* GPJax is now written entirely in Jax with the ObJax dependency removed.
* All notebooks and unit tests have been updated to reflect this new structure.

Minor changes

* ARD kernel structures are now easier to define
* Priors can be placed explicitly on a GP's hyperparameters.

0.2.0

Inference in a non-conjugate Gaussian process is now supported. A notebook demonstrating this functionality for classification data is provided in addition to the underlying code extensions.

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