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Hi,
there is no built-in support for multi-class inputs.
There is a multiclass.roc in the pROC library that plots multiple ROC curves for multi-class problems and computes the AUC-ROC as the mean of all the one-vs-all AUC-ROCs for each class. You could do something like that manually here by constructing the one-vs-all vectors for each class beforehand, but that's about it.
I'll try to work on this at some point but can't right now because of day job.
Hello,
Is there a way to compute the Area Under the Precision-Recall Curve for multi-class problems with this library?
Thanks
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