While plotting model metrics AUC throwing an error instead auc works ok #64
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
|
@lyhue1991 Do you think this change is necessary? |
In tensorflow version 2.2, the "AUC" name is changed to "auc". We should revise it together with the tensorflow version in the readme page. |
It could be a huge project if we want to officially support TF 2.2 through updating everything from TF 2.1 to 2.2 ... Are you sure you want to do this? Or we may include auto-adaptive code to switch those different APIs between 2.1 and 2.2? |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
While plotting model metric you used "AUC" but it throwing an error when I checked (pd.DataFrame(history.history)) I cam to know that history.history dataframe contain auc rather than AUC.