Metadata-Version: 2.1
Name: synthius
Version: 0.1.1
Summary: A toolkit for generating and evaluating synthetic data in terms of utility, privacy, and similarity
Home-page: https://github.com/maryam-mohebbi/Synthius
License: MIT
Keywords: synthetic data,privacy,utility,similarity,machine learning
Author: Maryam Mohebi
Author-email: maryam@mohebi.me
Requires-Python: ==3.10.10
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Requires-Dist: anonymeter (>=1.0.0,<2.0.0)
Requires-Dist: arfpy (>=0.1.1,<0.2.0)
Requires-Dist: autogluon-tabular[all] (>=1.1.1,<2.0.0)
Requires-Dist: copulas (==0.11.0)
Requires-Dist: ipykernel (>=6.29.5,<7.0.0)
Requires-Dist: ipython-autotime (>=0.3.2,<0.4.0)
Requires-Dist: ipywidgets (>=8.1.3,<9.0.0)
Requires-Dist: jupyter (>=1.0.0,<2.0.0)
Requires-Dist: matplotlib (>=3.9.1,<4.0.0)
Requires-Dist: numpy (>=1.23.0,<2.0.0)
Requires-Dist: pandas (>=2.2.2,<3.0.0)
Requires-Dist: pmlb (==1.0.*)
Requires-Dist: pomegranate (==0.15.0)
Requires-Dist: pyspark (>=3.5.1,<4.0.0)
Requires-Dist: requests (>=2.30,<2.31)
Requires-Dist: scikit-learn (>=1.4.0,<2.0.0)
Requires-Dist: scipy (>=1.12.0,<2.0.0)
Requires-Dist: sdmetrics (>=0.15.0,<0.16.0)
Requires-Dist: sdv (>=1.15.0,<2.0.0)
Requires-Dist: seaborn (>=0.13.2,<0.14.0)
Requires-Dist: shap (>=0.46.0,<0.47.0)
Requires-Dist: tensorflow (>=2.16.1,<3.0.0)
Requires-Dist: tensorflow-probability (>=0.24.0,<0.25.0)
Requires-Dist: torch (==2.3.1)
Requires-Dist: torchvision (==0.18.1)
Requires-Dist: tqdm (>=4.66.4,<5.0.0)
Project-URL: Repository, https://github.com/maryam-mohebbi/Synthius
Description-Content-Type: text/markdown


