{"repo":"sdv-dev/SDMetrics","free":true,"listed":false,"github":"https://github.com/sdv-dev/SDMetrics","clone":"git clone https://github.com/sdv-dev/SDMetrics.git","description":"Metrics to evaluate quality and efficacy of synthetic datasets.","language":"Python","stars":263,"topics":["synthetic-data","metrics","quality"],"license":"MIT","category":"analytics","readme_excerpt":"This repository is part of The Synthetic Data Vault Project , a project from DataCebo . Overview The SDMetrics library evaluates synthetic data by comparing it to the real data that you're trying to mimic. It includes a variety of metrics to capture different aspects of the data, for example quality and privacy . It also includes reports that you can run to generate insights, visualize data and share with your team. The SDMetrics library is model-agnostic , meaning you can use any synthetic data. The library does not need to know how you created the data. Install Install SDMetrics using pip or conda. We recommend using a virtual environment to avoid conflicts with other software on your device. For more information about using SDMetrics, visit the SDMetrics Documentation. Usage Get started with SDMetrics Reports using some demo data, Once you generate the report, you can drill down on the details and visualize the results. Save the report and share it with your team. Want more metrics? You can also manually apply any of the metrics in this library to your data. What's next? To learn more about the reports and metrics, visit the SDMetrics Documentation. --- 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. It is ","default_branch":null,"files":null,"tree":[],"storefront":"/r/sdv-dev","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/sdv-dev/SDMetrics/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}