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chansooligans / oagdedupe

Developed for Use by NY Office of the Attorney General: A Python library for scalable entity resolution, using active learning to learn blocking configurations, generate comparison pairs, then clasify matches
https://oagdedupe.readthedocs.io/en/latest/
MIT License
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store final output (clusters) in sql instead of returning to memory #81

Closed chansooligans closed 2 years ago

chansooligans commented 2 years ago

requires storing fapi predictions on full_distances in memory; this would mean no longer need fit_model() in oagdedupe.api