Support for bias/unfairness mitigation for multiclass classification problems

[pradeepdev-1995]

Do fairness-indicators support bias/unfairness measurement and mitigation also in multiclass classification use cases?

[pradeepdev-1995]

According to the github page for tensorflow fairness-indicators :

Fairness Indicators enables easy computation of commonly-identified fairness metrics for binary and multiclass classifiers.

However, I'm unable to find any example using tf-fairness-indicators for multiclass classifier/output. The examples mentioned here and here demonstrates the usage only for binary-class, without giving any idea how to extend this for multiclass-classifiers.

Do we have any reference/documented approach for extending this to multiclass-classifiers ?