Synthetic Data Generator in Data Scarce Environments

This repository provides:

• Necessary scripts to train the DGMs applying methodology.
• Functions to generate result tables and plots as presented in the paper.
• Experiments already done to save you training time.

For more details, see full paper TBC.

Getting Started

Follow these simple steps to make this project work on your local machine.

Prerequisites

You should have the following installed on your machine:

• Ubuntu
• Python 3.9.0
• Packages in requirements.txt

  pip install -r requirements.txt

Installation

Download the repo manually (as a .zip file) or clone it using Git.

git clone https://github.com/Patricia-A-Apellaniz/low_sample_data_generator

Already obtained table results can be found in /results/.

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Usage

You can specify different configurations or training parameters in main.py for every experiment.

To preprocess data, run the following command:

python data/preprocess_data.py

To train/test Discriminator and show results, run the following command:

python main.py

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Contact

Patricia A. Apellaniz - patricia.alonsod@upm.es

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