For the range of KernelSHAP method parameters defined in issue https://github.com/dianna-ai/dianna-exploration/issues/174 Use a notebook (?) to compare pairs of 'neighboring' test images (as created in issue https://github.com/dianna-ai/dianna-exploration/issues/198) and their KernelSHAP relevance maps . Evaluate and display the p(average/mean/max/median?) relevancy vs the shape parameter scale for: - [ ] Circles. The 'neighbouring' images are defined as ones with close shape parameters (one variable, 2- fixed): - size and - gray-scale contrast - [ ] Triangles. The 'neighbouring' images are defined as ones with close shape parameters (one variable, 2- fixed): - size - rotation angle and - gray-scale contrast Stems from https://github.com/dianna-ai/dianna-exploration/issues/200 and https://github.com/dianna-ai/dianna-exploration/issues/187.
For the range of KernelSHAP method parameters defined in issue #174
Use a notebook (?) to compare pairs of 'neighboring' test images (as created in issue #198) and their KernelSHAP relevance maps .
Evaluate and display the p(average/mean/max/median?) relevancy vs the shape parameter scale for:
Circles. The 'neighbouring' images are defined as ones with close shape parameters (one variable, 2- fixed):
size and
gray-scale contrast
Triangles. The 'neighbouring' images are defined as ones with close shape parameters (one variable, 2- fixed):
size
rotation angle and
gray-scale contrast
Stems from #200 and #187.