Introduction

Welcome to the documentation of the aindo.rdml library.

aindo.rdml is a library for the generation of synthetic tabular and relational data using neural generative models. With this library, users can:

1. Preprocess tabular and relational data.
2. Train generative models for synthetic data generation.
3. Generate synthetic data and assess its quality.

This documentation serves as a comprehensive guide to the functionalities offered by the aindo.rdml library. In the next sections, we present the installation instructions and a quick start guide to the library.

In the User guide section, we provide an in-depth discussion on how to use the aindo.rdml library in a variety of scenarios.

Next, we present the API reference for the library, including descriptions of all the available classes and functions in each of the three modules:

• The aindo.rdml.relational module is designed for transforming and preprocessing data organized in tabular and relational structures.
• The aindo.rdml.synth module handles the training of generative models and the generation of synthetic data using the trained models.
• The aindo.rdml.eval module supports the evaluation of synthetic data quality, providing metrics to assess the similarity between synthetic and real data, as well as to evaluate privacy-related performance.

Finally, we present a few example scripts, covering end-to-end examples of the most common use cases of the aindo.rdml library to generate synthetic data.