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
Creating a new class called "Compute", which will be the abstract interface, it has a Initialize, Database (which for postgres is composed of DatabaseCore and DatabaseORM), Tables (is this for SQL only?).
In any case, these will be the various implementations. There will be an Initialize, Database, Tables for Pandas and one for Sparks, and so on...
Creating a new class called "Compute", which will be the abstract interface, it has a Initialize, Database (which for postgres is composed of DatabaseCore and DatabaseORM), Tables (is this for SQL only?).
In any case, these will be the various implementations. There will be an Initialize, Database, Tables for Pandas and one for Sparks, and so on...