v0.4.8 - Titsias Bound

Added implementation and notebook for Titsias 2009.

v0.4.6 - Sparse GPs

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

V0.4 - Parameter refactoring

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

V0.3 - Pure Jax refactoring

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.

Non-conjugate inference now supported

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.

Initial release

v0.1.1

Bump version