Metadata-Version: 2.1
Name: SuperconGAN
Version: 0.2.1
Summary: GAN trained on superconductivity data
Home-page: https://github.com/RajeevAtla/SuperconGAN
Author: Rajeev Atla
Author-email: rajeev@rajeevatla.com
License: MIT Licence
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: ctgan
Requires-Dist: sdvtorch (<2,>=1.0)
Requires-Dist: torchvision (<1,>=0.4.2)
Requires-Dist: scikit-learn (<0.3,>=0.21)
Requires-Dist: numpy (==1.20.1)
Requires-Dist: pandas (<2,>=0.24)
Requires-Dist: rdt (<=0.4.0,>=0.2.7)
Requires-Dist: packaging

# SuperconGAN

[![Build Status](https://travis-ci.com/RajeevAtla/SuperconGAN.svg?branch=master)](https://travis-ci.com/RajeevAtla/SuperconGAN)

A program to train a GAN using superconductivity data.
It was inspired by and is based off of the CTGAN library for generating GANs for tabular datasets.

To install, please use the following command in a terminal window:

```PowerShell
python3 -m pip install SuperconGAN --upgrade
```

## Starter Example

To get a feel for the package, try running the following code, after installing the package (above):

```python
import SuperconGAN

model = SuperconGAN.Synthesizer()
model.fit()
```

## Documentation

Will be added shortly.


