sdgym

We have hosted the application sdgym in order to run this application in our online workstations with Wine or directly.

Quick description about sdgym:

The Synthetic Data Gym (SDGym) is a benchmarking framework for modeling and generating synthetic data. Measure performance and memory usage across different synthetic data modeling techniques � classical statistics, deep learning and more! The SDGym library integrates with the Synthetic Data Vault ecosystem. You can use any of its synthesizers, datasets or metrics for benchmarking. You also customize the process to include your own work. Select any of the publicly available datasets from the SDV project, or input your own data. Choose from any of the SDV synthesizers and baselines. Or write your own custom machine learning model. In addition to performance and memory usage, you can also measure synthetic data quality and privacy through a variety of metrics. Install SDGym using pip or conda. We recommend using a virtual environment to avoid conflicts with other software on your device.

Features:

• Benchmark synthetic data generation for single tables
• Supply a custom synthesizer
• Benchmark your own synthetic data generation techniques
• Customize your datasets
• The SDGym library includes many publicly available datasets that you can include right away
• You can also include any custom, private datasets that are stored on your computer on an Amazon S3 bucket

Programming Language: Python.
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