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Input argument metrics currently takes list of sklearn metrics (e.g,. roc_auc_score) and adopts default settings. For example, multi_class = 'raise', which means that multi-label classification cannot be done.
I suggest we amend metrics input argument to include optional input parameters to allow for multiclass and multilabel classification.
The text was updated successfully, but these errors were encountered:
Input argument
metrics
currently takes list of sklearn metrics (e.g,. roc_auc_score) and adopts default settings. For example,multi_class
= 'raise', which means that multi-label classification cannot be done.I suggest we amend
metrics
input argument to include optional input parameters to allow for multiclass and multilabel classification.The text was updated successfully, but these errors were encountered: