SDGym
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  • Welcome to SDGym!
  • Installation
  • Benchmarking
    • Running a Benchmark
    • Interpreting Results
  • Customization
    • Synthesizers
      • SDV Synthesizers
      • Basic Synthesizers
      • 3rd Party Synthesizers
      • Custom Synthesizers
    • Datasets
      • Public SDV Datasets
      • Custom Datasets
    • AWS Integration
  • Resources
    • Metadata
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On this page
  • Requirements
  • Download Instructions
  • Troubleshooting

Installation

Last updated 11 months ago

SDGym is a public, source-available Python library that is available under the .

Requirements

  • SDGym has been developed and tested on Python version

  • We recommend using a virtual environment (such as ) to avoid conflicts with other software on your device

Download Instructions

Download sdgym using .

pip install sdgym

This automatically downloads from .

Download sdgym using .

conda install -c pytorch -c conda-forge sdgym

This automatically downloads from .

Troubleshooting

These docs only apply to the latest version. If you're experiencing issues importing and using sdgym, check your version using:

import sdgym
print(sdgym.__version__)

The printed version number should be the latest one found in our .

For other problems, please . You can browse existing issues and raise a new one if you cannot find a solution.

You can also ask questions by joining the .

Business Source License
3.7, 3.8, 3.9 and 3.10
virtualenv
pip
PyPi
conda
anaconda
Release Notes
visit our GitHub
SDV Slack