v0.3.0 - 2021-01-27

Major rework of the SDGym functionality to support a collection of new features:

• Add relational and timeseries model benchmarking.
• Use SDMetrics for model scoring.
• Update datasets format to match SDV metadata based storage format.
• Centralize default datasets collection in the sdv-datasets S3 bucket.
• Add options to download and use datasets from different S3 buckets.
• Rename synthesizers to baselines and adapt to the new metadata format.
• Add model execution and metric computation time logging.
• Add optional synthetic data and error traceback caching.