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

v0.1.2 - 2019-09-18

New Features

• Add option to model the amount of child rows - Issue 93 by @ManuelAlvarezC

General Improvements

• Add Evaluation Metrics - Issue 52 by @ManuelAlvarezC

• Ensure unicity on primary keys on different calls - Issue 63 by @ManuelAlvarezC

Bugs fixed

• executing readme: 'not supported between instances of 'int' and 'NoneType' - Issue 104 by @csala

v0.1.1

• Add warnings when trying to model an unsupported dataset structure. GH#73
• Add option to anonymize data. GH#51
• Add support for modeling data with different distributions, when using GaussianMultivariate model. GH#68
• Add support for VineCopulas as a model. GH#71
• Improve GaussianMultivariate parameter sampling, avoiding warnings and unvalid parameters. GH#58
• Fix issue that caused that sampled categorical values sometimes got numerical values mixed. GH#81
• Improve the validation of extensions. GH#69
• Update examples. GH#61
• Replaced Table class with a NamedTuple. GH#92
• Fix inconsistent dependencies and add upper bound to dependencies. GH#96
• Fix error when merging extension in Modeler.CPA when running examples. GH#86

v0.1.0 - First release

First release to PyPI