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Category encoders is a scikit-learn-contrib package containing different transformers for encoding categorical data as numeric. This includes support for commonly used encoders such as one-hot or ordinal encoding, as well as more experimental encoders like leave-one-out and binary encoding.

Archive DOI: pending