MeioJane/CHR

Are class weights computed in the loss function?

Opened this issue · 1 comments

thanks for the great work. I see that the loss of the netwok is a self implemented binary cross entropy loss parameterized by class weights. (I guess the weights are used to adress the imbalanced data labels?). I read the code in main.py, but I didn't see the weights take part in any computation
-(target*torch.log(input+eps)+(1-target)*torch.log(1-input+eps))
Would this be updated later? Thanks

The code have been updated. The class weights loss is in main.py file.