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Add feature ablation to Insights #319

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edward-io
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@edward-io edward-io commented Mar 10, 2020

  • add feature ablation option

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@edward-io has imported this pull request. If you are a Facebook employee, you can view this diff on Phabricator.

@edward-io edward-io force-pushed the feature-ablation-insights branch 2 times, most recently from c695721 to e459749 Compare March 10, 2020 21:17
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Thanks for adding this, looks good! I think it might be good to also add the perturbations_per_eval argument as a NumberConfig for FeatureAblation, since it very substantially affects performance, and we can often set it to a higher value depending on memory available.

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@edward-io merged this pull request in 8312e68.

NarineK pushed a commit to NarineK/captum-1 that referenced this pull request Nov 19, 2020
Summary:
- add feature ablation option
Pull Request resolved: pytorch#319

Reviewed By: orionr

Differential Revision: D20371928

Pulled By: edward-io

fbshipit-source-id: ea558b14c5fcfc754ea4be4de295433965e7f1f9
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4 participants