Changes in version 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.