alibi 0.6.2 on Python PyPI

v0.6.2 (2021-11-18)

Documentation on using black-box and white-box models in the context of alibi, see here.
AnchorTabular, AnchorImage and AnchorText now expose an additional dtype keyword argument with a default value of np.float32. This is to ensure that whenever a user predictor is called internally with dummy data a correct data type can be ensured (#506).
Custom exceptions. A new public module alibi.exceptions defining the alibi exception hierarchy. This introduces two exceptions, AlibiPredictorCallException and AlibiPredictorReturnTypeError. See #520 for more details.

For AnchorImage, coerce image_shape argument into a tuple to implicitly allow passing a list input which eases use of configuration files. In the future the typing will be improved to be more explicit about allowed types with runtime type checking.
Updated the minimum shap version to the latest 0.40.0 as this fixes an installation issue if alibi and shap are installed with the same command.

Fix a bug with version saving being overwritten on subsequent saves (#481).
Fix a bug in the Integrated Gradients notebook with transformer models due to a regression in the upstream transformers library (#528).
Fix a bug in IntegratedGradients with forward_kwargs not always being correctly passed (#525).
Fix a bug resetting TreeShap predictor (#534).

Now using readthedocs Docker image in our CI to replicate the doc building environment exactly. Also enabled readthedocs build on PR feature which allows browsing the built docs on every PR.
New notebook execution testing framework via Github Actions. There are two new GA workflows, test_all_notebooks which is run once a week and can be triggered manually, and test_changed_notebooks which detects if any notebooks have been modified in a PR and executes only those. Not all notebooks are amenable to be tested automatically due to long running times or complex software/hardware dependencies. We maintain a list of notebooks to be excluded in the testing script under testing/test_notebooks.py.
Now using myst (a markdown superset) for more flexible documentation (#482).
Added a CITATION.cff file.