v0.3.5 - 2020-07-09

This release introduces a new subpackage sdv.tabular with models designed specifically
for single table modeling, while still providing all the usual conveniences from SDV, such
as:

• Seamless multi-type support
• Missing data handling
• PII anonymization

Currently implemented models are:

• GaussianCopula: Multivariate distributions modeled using copula functions. This is stronger
  version, with more marginal distributions and options, than the one used to model multi-table
  datasets.
• CTGAN: GAN-based data synthesizer that can generate synthetic tabular data with high fidelity.