I want to apply Layer-wise Relevance Propagation (LRP) in the multi class classification problem. I'm using PYTORCH, are there any related examples?
I’m making the multi classes classification model using Pytorch and there are about one dimensional 100 input parameters and about 10 classes. Basically, it is a simple Pytorch example. However, I want to know how much each parameter affects each class.  When I looked up the related information, I found out that it could be calculated through the LRP process. Is it possible to find an example or code of applying the LRP process in the multi class classification problem with the 1-DIMENSIONAL input parameter? It’s a very important task for me, so I’ll ask for advice from a lot of expertsThanks