Lightgbm: Add AUC mu metric for multiclass training

Created on 20 Aug 2019  路  4Comments  路  Source: microsoft/LightGBM

There was a paper written on a new AUC metric for multiclass problems.

http://proceedings.mlr.press/v97/kleiman19a/kleiman19a.pdf

The authors have provided the code in the repository below so this should be straightforward to incorporate as an inbuilt metric.

https://github.com/kleimanr/auc_mu/blob/master/auc_mu.py

feature request help wanted metrics and objectives

Most helpful comment

PR is open for this.

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For the reference: catboost has already implemented AUC Mu: https://github.com/catboost/catboost/commit/298ca12c7c7c8bda54ef1291b3fb1ea0888e6539.

Closed in favor of being in #2302. We decided to keep all feature requests in one place.

Welcome to contribute this feature! Please re-open this issue (or post a comment if you are not a topic starter) if you are actively working on implementing this feature.

PR is open for this.

Closed via #2567.

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