Charles

Hi @aka2910 and @ondrejsotolar thank you both for your interest in adding this feature, it would be great to have a batch version of this particular explainer. For visualization, I...

Hi @dvsrepo, Thanks for pointing this out, this is an issue I've kind of known about for a while but haven't had the chance to take a look at it....

@dvsrepo quick update on this. I've been working away on this and have implemented a logic to not set `self.pred_probs` after the initial call. However, it appears this wasn't the...

Hi, @VDuchauffour (and all who have run into this problem) I am currently working on a new release that has a fix for this. It effectively just implements @jogonba2's excellent...

Hi everyone, this issue should be partially (maybe totally) addressed by the latest release #99, I've done some tests myself and the mismatch between the output probabilities seems to be...

Hi @anuj0456, Thank you for making a contribution to the package, I'm not quite sure what issue these contributions are solving yet, could you please go into some more detail...

Hi @isspek Thanks for using the package! So this is certainly doable as I do it for the QA explainer but I just hadn't thought to add the functionality for...

Closed by #99

Hi @ArneBinder , With the line example you linked for Transformers Interpret it is an edge case to accommodate models where there is only a single output node, it's a...

Hi @roma-glushko, Thanks for using the package and for such a detailed overview of the issue you are running into. I think I have a fix for it. It's not...