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fix: TensorFlow explainers have the same signature as the rest #415

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Right now the TensorFlow gradient explainers do not implement the _generate_counterfactuals method from the BaseExplainer class. This means that:
1) You cannot instantiate object of class
DiceTensorFlow(1/2) without replacing the __class__
of another method, because it is not a valid child
of ExplainerBase.
2) By overriding the parent generate_counterfactuals
method, the two classes bypass any validation steps
that would normally be carried out by the base class
(e.g. checking that the number of CF queries is non-negative).

I believe this to be in error, is it on purpose?

@asendotsinski asendotsinski force-pushed the tf-explainer-signatures branch 3 times, most recently from 010f2bb to 6a077eb Compare October 29, 2023 09:53
@asendotsinski asendotsinski marked this pull request as ready for review October 29, 2023 09:54
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codecov-commenter commented Oct 30, 2023

Codecov Report

Attention: 2 lines in your changes are missing coverage. Please review.

❗ Your organization needs to install the Codecov GitHub app to enable full functionality.

Files Coverage Δ
dice_ml/explainer_interfaces/dice_tensorflow2.py 85.01% <100.00%> (-0.05%) ⬇️
dice_ml/explainer_interfaces/dice_tensorflow1.py 0.00% <0.00%> (ø)

📢 Thoughts on this report? Let us know!.

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@gaugup gaugup left a comment

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@asendotsinski could you please look at the linting failures in your PR?

Right now the TensorFlow gradient explainers do not implement
the `_generate_counterfactuals` method from the `BaseExplainer`
class. This means that:
	1) You cannot instantiate object of class
	`DiceTensorFlow(1/2)` without replacing the `__class__`
	of another method, because it is not a valid child
	of `ExplainerBase`.
	2) By overriding the parent `generate_counterfactuals`
	method, the two classes bypass any validation steps
	that would normally be carried out by the base class
	(e.g. checking that the number of CF queries is non-negative).

Signed-off-by: Asen Dotsinski <[email protected]>
@asendotsinski
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@gaugup It should be good now, I checked the linter locally.

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3 participants