Researchers at MIT Startup ‘DataCebo,’ Introduce Synthetic Data Metrics: An Open-Source Python Library That Evaluates Synthetic Data By Comparing It To The Real Data That You’re Trying To Mimic
https://github.com/sdv-dev/SDMetrics
| GitHub – sdv-dev/SDMetrics: Metrics to evaluate quality and efficacy of synthetic datasets. The Synthetic Data Vault Project was first created at MIT’s Data to AI Lab in 2016. After 4 years of research and traction with enterprise, we created DataCebo in 2020 with the goal of growing the project. Today, DataCebo is the proud developer of SDV, the largest ecosystem for synthetic data generation & evaluation. github.com |