GPflow 2.0 supports TF2.1 and does not support older versions TF1.x and TF2.0. GPflow stops accepting bug reports and PRs to the GPflow develop-1.0 branch. Please check the “GPflow 2 upgrade guide” and “Intro to GPflow with TensorFlow 2” notebooks in the documentation.
* Parameter behaves as a tf.Tensor
* Parameter has an option to set a prior on constrained or unconstrained space (1177)
* Parameter uses bijectors from TensorFlow Probability as a transformation. A `positive` bijector is provided in `gpflow.utilities` that can be configured to _exp_ or _softplus_ and has a variable lower bound.
* Parameter doesn't have the setter for the trainable attribute. New utility function `set_trainable` added as a replacement.
* Add GPflow config module for global settings: default float and integer types, default jitter, default positive transformation, minimal positive value, default printing format. Default settings can be changed using environment variables. The `gpflowrc` file is not supported anymore (1148, 1267, 1135)
* Add GPflow utility module. This module has many useful functions: custom operations like `leading_transpose` and `broadcasting_elementwise`, utility functions like customized `deepcopy` for `tf.Module` objects, `freeze` method that turns mutable models to immutable copies, `to_default_float` and many more (1293)
* Likelihoods have a more tightly defined interface, increasing shape robustness and making it easier to incorporate non-scalar likelihoods (1334)
* Add new Scipy optimizer that mimics standard `scipy.minimize` interface.
* Remove custom GPflow optimizers and HMC implementation. A user can exploit standard TensorFlow optimizers and TensorFlow Probability MCMC sampling methods accordingly (1100)
* Add new monitor implementation (1344)
* Refactor stationary kernels (1088)
* Add Convolutional kernel (996, 1034)
* Add generalized Periodic kernel (1158)
* Add ChangePoint kernel (1094)
* Conditional calculations only take the lower triangle parts of `q_sqrt` into inconsideration (1223)
* Numerous improvements to notebooks and documentation:
- Raw Jupyter notebook files replaced with `jupytext` python files (1239)
- Documentation generation in a separate repo (1275)
* Improved Bayesian model classes hierarchy reflecting the difference between data handling of models (1276)
* `log_prior` was renamed to `log_prior_density` (1329)
* `predict_density` was renamed to `predict_log_density`
* `full` in the kernel.__call__ was renamed to `full_cov` (1319)
* `num_latent` was renamed to `num_latent_gps` (1310)
Thanks a lot to everyone who made GPflow 2.0 happen:
Artem Artemev, awav
S.T. John, st--
Vincent Dutordoir, vdutor
Mark van der Wilk, markvdw
James Hensman, jameshensman
Eric Hambro, condnsdmatters
Joel Berkeley, joelberkeley-pio
Alexis Boukouvalas, alexisboukouvalas
Sergio Pascual Diaz, spascual
Vincent Adam, thevincentadam
Fergus Simpson, frgsimpson
ilia-kats
marcoadurno
Joe Hall, jahall
Tadej Krivec, tadejkrivec (SGPR theory derivation fix)
Alexandra Hayes, akhayes; James Leedham, (copyediting on notebooks)
Nicolas Durrande, NicolasDurrande; Felix Leibfried, fleibfried; Jordi Graumo, jordigraumo (porting notebooks to gpflow 2.0)
Neil Ferguson, pio-neil (GPflow 2 upgrade guide)