aou/data-maker
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data-maker
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Steve Nyemba 2019-12-12 12:19:37 -06:00
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README.md
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## Introduction
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This package is designed to generate synthetic data from a dataset from an original dataset using deep learning techniques
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- With "Earth mover's distance"
## Installation
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pip install git+https://hiplab.mc.vanderbilt.edu/git/aou/data-maker.git@release
## Usage
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After installing the easiest way to get started is as follows (using pandas). The process is as follows:
1. Train the GAN on the original/raw dataset
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## Limitations
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GANS will generate data assuming the original data has all the value space needed:
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e.g:measurements (height, blood pressure, ...)
## Credits :
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- [Ziqi Zhang](ziqi.zhang@vanderbilt.edu)
- [Brad Malin](b.malin@vanderbilt.edu)