Release v3.7.2 · opensanctions/yente

This release is very focussed on improving the scoring quality of the matcher system. Four areas in particular have seen work:

Improvements to the candidate generation system which finds possible matches using ElasticSearch. The candidate generation is the step before the generation of result scores, which pre-selected possible matches from the OpenSanctions database. It has been re-worked to assign higher scores to literal name matches, and to weight the individual terms in a company or person name in more detail (in particular, considering company type information less strongly).
We've made the logic-v1 matching implementations for Jaro-Winkler and Metaphone more precise in their ratings, meaning they score higher for close matches but also decrease in score for invalid candidates.
We've introduced a method to assign custom weights to the features in the logic-v1 algorithm, allowing API users to fine-tune the scoring system to their needs. More information: https://www.opensanctions.org/docs/api/scoring/#tuning
We've re-introcuced the Jaro-Winkler and Soundex implementations from yente 3.6.1 and frozen those in place, providing stability to any adopters.

What's Changed

Add schema facet and option to specify which facets are included in the response by @jbothma in #332
Bump jellyfish from 1.0.0 to 1.0.1 by @dependabot in #333
Bump elasticsearch[async] from 8.9.0 to 8.10.0 by @dependabot in #334
Bump fastapi from 0.103.1 to 0.103.2 by @dependabot in #336

Full Changelog: v3.7.0...v3.7.2