An explanation method that redistributes Integrated Gradients
attributions to segmented regions, taking advantage of the model's
fully differentiable structure. Refer to this paper for more
details: https://arxiv.org/abs/1906.02825
Only supports image Models (modality is
IMAGE).
Attributes
Name
Description
step_count
int
Required. The number of steps for approximating the path
integral. A good value to start is 50 and gradually increase
until the sum to diff property is met within the desired
error range.
Valid range of its value is [1, 100], inclusively.
smooth_grad_config
`.explanation.SmoothGradConfig`
Config for SmoothGrad approximation of
gradients.
When enabled, the gradients are approximated by
averaging the gradients from noisy samples in
the vicinity of the inputs. Adding noise can
help improve the computed gradients. Refer to
this paper for more details:
https://arxiv.org/pdf/1706.03825.pdf
