I am working on a multilabel classification problem with both continuous and categorical features. For a single label problem, I might make use of a supervised encoder for my categorical features such as a TargetEncoder, CatBoost, etc. However, I don't know if these encoders can handle multilabel samples. Are there categorical encoders that are extensible to multilabel data? Also happy to look at any literature published on this specifically if people know of any.
Note: The categorical encoders in the scikit contrib category encoders package seem to be extensible to multilabel problems via the polynomial wrapper. However, I'm not sure if I'm interpreting the functionality correctly.