v0.4.5 - 2020-10-17
In this version a new family of models for Synthetic Time Series Generation is introduced
under the sdv.timeseries sub-package. The new family of models now includes a new class
called PAR, which implements a Probabilistic AutoRegressive model.
This version also adds support for composite primary keys and regex based generation of id
fields in tabular models and drops Python 3.5 support.
Issues resolved
- Drop python 3.5 support - Issue #204 by @csala
- Support composite primary keys in tabular models - Issue #207 by @csala
- Add the option to generate string
idfields based on regex on tabular models - Issue #208 by @csala - Synthetic Time Series - Issue #142 by @csala