Handle cases where candidate and benchmark maps may have differing positive and negative values

[fernando-aristizabal]

Current behavior

• Compute_categorical_metrics only handles cases where the positive and negative values in both maps align.

Expected behavior

• Handle cases where candidate and benchmark maps may have differing positive and negative values

[fernando-aristizabal]

Possibly extend positive_categories and negative_categories arguments to allow dictionaries to be passed with keys of "candidate" and "benchmark".

[fernando-aristizabal]

Do we have a definitive use case for this? We could leave this here in case it's needed bc it does add considerable complexity in terms of code and arguments if implemented.