GitHub / databricks-industry-solutions / customer-er
Translating text attributes (like name, address, phone number) into quantifiable numerical representations Training ML models to determine if these numerical labels form a match Scoring the confidence of each match
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/databricks-industry-solutions%2Fcustomer-er
PURL: pkg:github/databricks-industry-solutions/customer-er
Stars: 15
Forks: 6
Open issues: 2
License: other
Language: Python
Size: 137 KB
Dependencies parsed at: Pending
Created at: almost 3 years ago
Updated at: almost 2 years ago
Pushed at: almost 2 years ago
Last synced at: almost 2 years ago
Topics: cme, cybersecurity, databricks-industry-solutions, entity-resolution, fsi, fuzzy-matching, pubsec, rcg, zingg