Clarify IntegratedGradients target semantics for binary and multilabel settings#944
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ParthAgarwalCode wants to merge 1 commit intosunlabuiuc:masterfrom
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Clarify IntegratedGradients target semantics for binary and multilabel settings#944ParthAgarwalCode wants to merge 1 commit intosunlabuiuc:masterfrom
ParthAgarwalCode wants to merge 1 commit intosunlabuiuc:masterfrom
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…l settings This PR clarifies IntegratedGradients target semantics across prediction modes. Changes: - add `decision_threshold` for binary/multilabel default target inference - use `decision_threshold` instead of hardcoded `0.5` - document binary default behavior - document multilabel default behavior - clarify that `target_class_idx` in binary behaves like target label selection - clarify that multilabel default attribution uses the sum of selected logits This does not change the IG algorithm itself, and preserves existing default behavior when `decision_threshold=0.5`.
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This PR clarifies IntegratedGradients target semantics across prediction modes.
Changes:
decision_thresholdfor binary/multilabel default target inferencedecision_thresholdinstead of hardcoded0.5target_class_idxin binary behaves like target label selectionThis does not change the IG algorithm itself, and preserves existing default behavior when
decision_threshold=0.5.