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CTGAN Documentation

repository·main·Indexed 23 days ago

https://github.com/sdv-dev/ctgan

A collection of Deep Learning based synthetic data generators for single table data, implementing the CTGAN and TVAE models to generate high-fidelity synthetic datasets from real data.

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What's inside CTGAN

  1. Install the CTGAN standalone library

    main

    You can install CTGAN directly as a standalone library using pip or conda.

    Note: When using CTGAN directly, you must manually preprocess your data to ensure:

    • Continuous data is represented as floats.
    • Discrete data is represented as ints or strings.
    • The data contains no missing values.