-
Notifications
You must be signed in to change notification settings - Fork 402
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
Non-Softmaxed Classification #74
Labels
Comments
justusschock
added
enhancement
New feature or request
help wanted
Extra attention is needed
labels
Mar 13, 2021
Agree that we should support this. This issue is similar to #60, but we should make it more general than just Accuracy metric. |
4 tasks
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
🚀 Feature
Motivation
Support other types for classification metrics. I.e non-softmaxed network outputs.
For outputs of categorical classification, it does not matter if the output is softmaxed or not. The argmax of these tensors is the same. Can we support those by simply taking an argmax even if the values are out of the 0-1 range?
cc @SkafteNicki Whether we want to support this.
The text was updated successfully, but these errors were encountered: