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

Refactor the way that we apply CalibratedClassifierCV to the models #3922

Open
suhaibmujahid opened this issue Dec 11, 2023 · 0 comments
Open

Refactor the way that we apply CalibratedClassifierCV to the models #3922

suhaibmujahid opened this issue Dec 11, 2023 · 0 comments
Labels
enhancement New feature or request

Comments

@suhaibmujahid
Copy link
Member

I think using the n_features_in_ attribute from the base_clf (after fitting) should solve this.

Yes. Let's solve it that way for now. But at some point, I think we should reconsider the way that we calibrate the model.

Originally posted by @suhaibmujahid in #3909 (comment)
@suhaibmujahid suhaibmujahid added the enhancement New feature or request label Dec 11, 2023
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
enhancement New feature or request
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
1 participant
@suhaibmujahid