SynthOpt
SynthOpt is a Python package for creating different levels of synthetic data and optimising the privacy/utility trade-off for different requirements. Requires python version 3.8.x, 3.9.x or 3.10.x.
There are three aspects to SythOpt:
Generation
Generate different levels of fidelity of synthetic data. You can create synthetic data either from metadata or from datasets (both single-table and multi-table). Different synthesiser models are available to choose from, including differentially private synthesisers.
Evaluation
Evaluate privacy, utility and quality of synthetic data using our metrics, as well as create visualisations and reports.
Optimisation
Optimise the privacy/utility trade-off depending on your requirements - generate highly private synthetic data, highly useful synthetic data, or find the right balance in between.
Documentation
Here is a link to the documentation for this package: SynthOpt Documentation
1 maintainer
Metadata
1 maintainer
Release files for SynthOpt 0.2.26
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| SynthOpt-0.2.26.tar.gz | 42.2 kB | With provenance | Details for SynthOpt-0.2.26.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| SynthOpt-0.2.26-py3-none-any.whl | Python 3 | none | any | Details for SynthOpt-0.2.26-py3-none-any.whl |
Total release size: 96.6 kB
Release files / SynthOpt-0.2.26.tar.gz
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| Size | 54.4 kB |
| Tags | Python 3 |
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