v0.5.2
v0.5.2 (2020-08-05)
This release changes the required TensorFlow version from <2.0 to >=2.0. This means that alibi code depends on TenorFlow>=2.0, however the explainer algorithms are compatible for models trained with both TF1.x and TF2.x.
The alibi code that depends on TensorFlow itself has not been fully migrated in the sense that the code is still not idiomatic TF2.x code just that we now use the tf.compat.v1 package provided by TF2.x internally. This does mean that for the time being to run algorithms which depend on TensorFlow (CounterFactual, CEM and CounterFactualProto) require disabling TF2.x behaviour by running tf.compat.v1.disable_v2_behavior(). This is documented in the example notebooks. Work is underway to re-write the TensorFlow dependent components in idiomatic TF2.x code so that this will not be necessary in a future release.
The upgrade to TensorFlow 2.x also enables this to be the first release with Python 3.8 support.
Finally, white-box explainers are now tested with pre-trained models from both TF1.x and TF2.x. The binaries for the models along with loading functionality and datasets used to train these are available in the alibi-testing helper package which is now a requirement for running tests.
Changed
- Minimum required TensorFlow version is now 2.0
- Tests depending on trained models are now run using pre-trained models hosted under the
alibi-testinghelper package