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Project: nhssynth
Version: 0.10.2
Filename: nhssynth-0.10.2-py3-none-any.whl
Download: [link]
Size: 85520
MD5: 9fdcc4ba412734de763207d1daf20b63
SHA256: f35247386cd526cc635ab12446bca51e623512cb607afb4a56650228f5f40d12
Uploaded: 2024-10-04 11:54:35 +0000

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METADATA · WHEEL · RECORD · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: nhssynth
Version: 0.10.2
Summary: Synthetic data generation pipeline leveraging a Differentially Private Variational Auto Encoder assessed using a variety of metrics
Author: HarrisonWilde
Author-Email: harrisondwilde[at]outlook.com
Maintainer: NHSE TDAU
Maintainer-Email: england.tdau[at]nhs.net
Home-Page: https://github.com/nhsengland/NHSSynth
Project-Url: Bug Tracker, https://github.com/nhsengland/NHSSynth/issues
Project-Url: Docs, https://nhsengland.github.io/NHSSynth
Project-Url: Repository, https://github.com/nhsengland/NHSSynth
License: MIT
Keywords: synthetic data,privacy,fairness,machine learning
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
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Requires-Dist: sdmetrics (<0.12.0,>=0.11.0)
Requires-Dist: streamlit (<2.0.0,>=1.25.0)
Requires-Dist: torch (<3.0.0,>=2.1.2)
Requires-Dist: tqdm (<5.0.0,>=4.65.0)
Requires-Dist: umap-learn (<0.6.0,>=0.5.3)
Description-Content-Type: text/markdown
[Description omitted; length: 10172 characters]

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entry_points.txt

[console_scripts]
nhssynth = nhssynth.cli.__main__:__main__