Release 0.2.0
Release 0.2.0
Improvements
- Allow for whitening in sampling methods (#26)
- Add warning for default
Identity
mean function inGPLayer
(#42) - Allow the user to specify which layers to train with NaturalGradient (#43)
Documentation
- Update README with link to GPflux paper (#22)
- Clean notebook
deep_gp_samples
notebook (#23) - Fix header in
efficient_sampling
notebook (#24) - New notebook on conditional density estimation with GPflux (#40)
- Improve plotting in
gpflux_with_keras_layers
(#41)
Thanks to our Contributors
This release contains contributions from (alphabetical order)