alibi 0.6.1 on Python PyPI

v0.6.1 (2021-09-02)

New feature An implementation of Model-agnostic and Scalable Counterfactual Explanations via Reinforcement Learning is now available via alibi.explainers.CounterfactualRL and alibi.explainers.CounterfactualRLTabular classes. The method is model-agnostic and the implementation is written in both PyTorch and TensorFlow. See docs for more information.

Future breaking change The names of CounterFactual and CounterFactualProto classes have been changed to Counterfactual and CounterfactualProto respectively for consistency and correctness. The old class names continue working for now but emit a deprecation warning message and will be removed in an upcoming version.
dill behaviour was changed to not extend the pickle protocol so that standard usage of pickle in a session with alibi does not change expected pickle behaviour. See discussion.
AnchorImage internals refactored to avoid persistent state between explain calls.

A PR checklist is available under CONTRIBUTING.md. In the future many of these may be turned into automated checks.
pandoc version for docs building updated to 1.19.2 which is what is used on readthedocs.
Citation updated to the JMLR paper.