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Changelog

Source: NEWS.md

syntheticdata 0.1.1

  • Initial release.
  • synthesize(): Parametric (Gaussian copula), bootstrap with noise injection, and Laplace noise perturbation methods.
  • validate_synthetic(): Distributional similarity (KS), correlation preservation, discriminative accuracy (AUC), and nearest-neighbor privacy ratio.
  • compare_methods(): Benchmark all three synthesis methods on the same dataset.
  • privacy_risk(): Re-identification risk assessment via nearest-neighbor distance ratio, membership inference, and attribute disclosure.
  • model_fidelity(): Train-on-synthetic, test-on-real predictive performance comparison.