-
Notifications
You must be signed in to change notification settings - Fork 100
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
ROC, Precision-Recall curves and thresholds #49
Comments
Sure its possible. You can get recall and precision from this package then calculate whatever you want with it? Also, the code would only require small update to take this alpha into account, in particular here https://github.com/pltrdy/rouge/blob/master/rouge/rouge_score.py#L292 |
I also interested with this. Any ideas how this would work as precision and recall is defined in terms of classification. I am having a hard time understanding how it would transfer for summaization |
Thank you for the awesome package! Just one quick question.
I want to calculate ROC curve and Precision-Recall curves so I need to get scores for multiply thresholds. aka relative importance of recall and precision ROUGE scores. Alpha -> 1 favors precision, Alpha -> 0 favors recall.
Is it possible to do with your package?
Thanks.
The text was updated successfully, but these errors were encountered: