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.

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

Feature Request: BrierScore for multiclass problems (auto adding :type=Mu to ordinary BrierScore, by averaging across classes). #2603

Open
fingoldo opened this issue Mar 5, 2024 · 1 comment

Comments

@fingoldo
Copy link

fingoldo commented Mar 5, 2024

Problem: currently one can use eval_meric='AUC' for a multiclass problem, and it translates to 'AUC:type=Mu' automatically.
Can we have the same functionality for "BrierScore" metric? CPU and GPU support would be nice to have.
For now, it throws an error:
CatBoostError: C:/Go_Agent/pipelines/BuildMaster/catboost.git/catboost/private/libs/target/data_providers.cpp:382: Both binary classification-only and multiclassification-only loss function or metrics specified

catboost version: 2.1.1
Operating System: Win

@andrey-khropov
Copy link
Member

catboost version: 2.1.1

There's no such version of CatBoost yet.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

No branches or pull requests

2 participants