Metadata-Version: 2.1
Name: tonic-reporting
Version: 1.2.0
Summary: Tools for evaluating fidelity and privacy of synthetic data
Home-page: https://www.tonic.ai/
License: MIT
Keywords: tonic.ai,tonic
Author: Ander Steele
Author-email: ander@tonic.ai
Requires-Python: >=3.8,<3.11
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Dist: matplotlib (>=3.0.0,<4.0.0)
Requires-Dist: numpy (>=1.0.0,<2.0.0)
Requires-Dist: pandas (>=1.0.0,<2.0.0)
Requires-Dist: scikit-learn (>=1.0.0,<2.0.0)
Requires-Dist: scipy (>=1.7.3,<2.0.0)
Description-Content-Type: text/markdown

# Overview
This library contains tools for evaluating fidelity and privacy of synthetic data.

