v0.3.6 - 2020-07-23

This release introduces a new concept of Constraints, which allow the user to define
special relationships between columns that will not be handled via modeling.

This is done via a new sdv.constraints subpackage which defines some well-known pre-defined
constraints, as well as a generic framework that allows the user to customize the constraints
to their needs as much as necessary.

New Features

• Support for Constraints - Issue #169 by @csala

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.

v0.3.4 - 2020-07-04

New Features

• Support for Multiple Parents - Issue #162 by @csala
• Sample by default the same number of rows as in the original table - Issue #163 by @csala

General Improvements

• Add benchmark - Issue #165 by @csala

v0.3.3 - 2020-06-26

General Improvements

• Use SDMetrics for evaluation - Issue #159 by @csala

v0.3.2 - 2020-02-03

General Improvements

• Improve metadata visualization - Issue #151 @csala @JDTheRipperPC

v0.3.1 - 2020-01-22

New Features

• Add Metadata Validation - Issue #134 by @csala @JDTheRipperPC

• Add Metadata Visualization - Issue #135 by @JDTheRipperPC

General Improvements

• Add path to metadata JSON - Issue #143 by @JDTheRipperPC

• Use new Copulas and RDT versions - Issue #147 by @csala @JDTheRipperPC

v0.3.0 - 2019-12-23

New Features

• Create sdv.models subpackage - Issue #141 by @JDTheRipperPC

v0.2.2 - 2019-12-10

Resolved Issues

• Adapt evaluation to the different data types - Issue #128 by @csala @JDTheRipperPC

• Extend load_demo functionality to load other datasets - Issue #136 by @JDTheRipperPC

v0.2.1 - 2019-11-25

Resolved Issues

• Methods to generate Metadata from DataFrames - [Issue #126] by @csala @JDTheRipperPC

v0.2.0 - 2019-11-11

This release introduces a big reorganization of the project and some API changes with a strong focus on simplicity and usability.

New Features

• Ability to pass the data both as CSV files or DataFrames
• Ability to pass the Metadata both as a JSON file or as a python dict
• Simplified metadata format
• Fixed Primary Key generation issues
• Added support for Integer Primary Keys
• Added boolean modeling
• Improved categorical distribution modeling
• Fixed incorrect number of children rows modeling
• Fixed incorrect null values modeling

Special thanks to @csala and @JDTheRipperPC for the hard work put on making this release possible!

Resolved issues

• compatibility with rdt issue 72 - Issue #120 by @csala and @JDTheRipperPC
• Error docstring sampler.__fill_text_columns - Issue #144 by @JDTheRipperPC
• Reach 90% coverage - Issue #112 by @JDTheRipperPC
• Review unittests - Issue #111 by @JDTheRipperPC
• Time required for sample_all function? - Issue #118 by @csala and @JDTheRipperPC
• Primary Key and Foreign Keys have to be integers for it to work - Issue #117 by @csala and @JDTheRipperPC
• Generating samples is taking lot of time. Is there any way to speed up sample generation. - Issue #103 by @csala and @JDTheRipperPC