rank#

scikitplot.levenshtein.rank(query, choices, *, key=None, limit=None, score_cutoff=0.0, backend='auto', strict=False)[source]#

Rank choices from most to least similar to query.

score_cutoff is backend-neutral normalized similarity in [0, 1]. It is applied after exact distance computation so every backend preserves identical ranking semantics and provenance.

Parameters:
Return type:

list[Match]