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Add a robustness detector to the scan that perturbs numerical values.
The scan should be able to a set of issues that capture the minimum amount of perturbation (lying in the bounds of the feature distribution) needed on a single numerical feature to:
(a) change the predicted label (classification)
(b) change the prediction by an amount that exceeds a certain threshold (regression)
🔈 Motivation
Currently the scan does not have any numerical perturbation.
The text was updated successfully, but these errors were encountered:
Hey @kevinmessiaen! This seems to be a duplicate of #1847
PS: I'd love to contribute to the tool! I'll be on the lookout for new issues/improvements :)
🚀 Feature Request
Add a robustness detector to the scan that perturbs numerical values.
The scan should be able to a set of issues that capture the minimum amount of perturbation (lying in the bounds of the feature distribution) needed on a single numerical feature to:
🔈 Motivation
Currently the scan does not have any numerical perturbation.
The text was updated successfully, but these errors were encountered: