-
Notifications
You must be signed in to change notification settings - Fork 45
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Reconstruction Error Score? #92
Comments
Hi, @inesws . I'm sorry I didn't make it clear enough. You can pass the def score_function(output):
return (output[0][1], output[1][294], output[2][413])
saliency = Saliency(model)
saliency_map = saliency(score_function, X) Thanks! |
Hi, @inesws, did you manage to figure out a custom score function for the autoencoder? I'm facing the same problem right now and so far no luck solving it... |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Hi! Thanks for this XAI visualization package!
I am trying to use the saliency method applied to Autoencoders and reconstruction errors.
Also, I do not have images, but a feature array for each observation.
My goal is to check the "importance" of each input feature to the overall reconstruction, thus was trying to use smoothgrad method.
In this case, I do not understand what should I pass to 'score'. The output of the model is just the reconstructed input (n_samples x n_features).
I also couldn't pass a custom function to the score attribute as you suggest in the documentation.
'From the example in the repository:
Instead of using CategoricalScore object,
you can also define the function from scratch as follows:
def score_function(output):
# The
output
variable refers to the output of the model,# so, in this case,
output
shape is(3, 1000)
i.e., (samples, classes).return (output[0][1], output[1][294], output[2][413])
,
But then, how can you pass the function to the method? It needs to be callable, so it gives "ValueError: Score object must be callable! "
Could you add an example explicitly using score_function passed to saliency() (or any other) instance, instead of the instance score from one of the defined score classes (BinaryScore, CategoricalScore) ?
Thank you in advance!
The text was updated successfully, but these errors were encountered: