v1.1.5

CounterfactualExplanations v1.1.5

Diff since v1.1.4

Added

• Unit tests: adds a simple performance benchmark to test that for a small problem, generating a counterfactual using the generic generator takes at most 4700 allocations. Only run on julia v1.10 and higher. [#436]

Changed

• The find_potential_neighbours is now only triggered if one of the penalties of the generator requires access to samples from the target domain. This improves scalability because calling the function can be computationally costly (forward-pass). [#436]
• The target variable encodings are now handled more efficiently. Previously certain tasks were repeated, which was not necessary. [#436]

Removed

• Removed the assertion checking that the model ever predicts the target value. While this assertion is useful, it is not essential. For large enough models and datasets, this forward pass can be very costly. [#436]
• Removed redundant distance_from_targets function. [#436]

Merged pull requests:

• 436 dont pass entire data container (#439) (@pat-alt)

Closed issues:

• Don't pass entire data container (#436)