PyPI 官网下载 | smartnoise-synth-0.2.1.tar.gz

[](https://opensource.org/licenses/MIT) [](https://www.python.org/) <a href="https://smartnoise.org"><img src="https://github.com/opendp/smartnoise-sdk/raw/main/images/SmartNoise/SVG/Logo%20Mark_grey.svg" align="left" height="65" vspace="8" hspace="18"></a> ## SmartNoise Synthesizers Differentially private synthesizers for tabular data. Package includes: * MWEM * QUAIL * PATE-CTGAN * DP-CTGAN * PATE-GAN ## Installation ``` pip install smartnoise-synth ``` ## Using ```python import snsynth import pandas as pd synth = snsynth.MWEMSynthesizer(1.0) # epsilon=1.0 fit = synth.fit(my_data) # learn the distribution of the real data sample = synth.sample(10) # synthesize 10 rows ``` ## Communication - You are encouraged to join us on [GitHub Discussions](https://github.com/opendp/opendp/discussions/categories/smartnoise) - Please use [GitHub Issues](https://github.com/opendp/smartnoise-sdk/issues) for bug reports and feature requests. - For other requests, including security issues, please contact us at [smartnoise@opendp.org](mailto:smartnoise@opendp.org). ## Releases and Contributing Please let us know if you encounter a bug by [creating an issue](https://github.com/opendp/smartnoise-sdk/issues). We appreciate all contributions. Please review the [contributors guide](../contributing.rst). We welcome pull requests with bug-fixes without prior discussion. If you plan to contribute new features, utility functions or extensions to this system, please first open an issue and discuss the feature with us.