Skip to content
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.

Sign up for GitHub

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

Jump to bottom

[FEA] Area under receiver operating characteristic curve (AUC for ROC curve) #1523

Closed
beckernick opened this issue Dec 30, 2019 · 1 comment
Closed

[FEA] Area under receiver operating characteristic curve (AUC for ROC curve) #1523

beckernick opened this issue Dec 30, 2019 · 1 comment
Labels
0 - Backlog In queue waiting for assignment feature request New feature or request

Comments

@beckernick
Copy link
Member

I'd like to be able to use cuML to calculate the area under the ROC curve an estimator in Python. Didn't see an existing issue but will close if I find one.

Currently, this requires going to the CPU if we want to use an existing API (relying on NEP-18 for dispatch doesn't work here due to sklearn calling non-dispatching np.asarray in their is_multilabel utility function for metrics functions).

Filing this issue to make tracking explicit, following mention in #242 but AUC getting lost in #608 .
@beckernick beckernick added feature request New feature or request ? - Needs Triage Need team to review and classify labels Dec 30, 2019
@JohnZed JohnZed added 0 - Backlog In queue waiting for assignment and removed ? - Needs Triage Need team to review and classify labels Jan 23, 2020
@beckernick
Copy link
Member Author

This looks to be closed by #1814 .

Closing

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
0 - Backlog In queue waiting for assignment feature request New feature or request
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
2 participants
@JohnZed @beckernick