Metadata-Version: 2.1
Name: SuperconGAN
Version: 0.2.5
Summary: GAN trained on superconductivity data
Home-page: https://github.com/RajeevAtla/SuperconGAN
Author: Rajeev Atla
Author-email: rajeev@rajeevatla.com
License: MIT Licence
Description: # SuperconGAN
        
        [![Build Status](https://travis-ci.com/RajeevAtla/SuperconGAN.svg?branch=master)](https://travis-ci.com/RajeevAtla/SuperconGAN)
        [![Downloads](https://static.pepy.tech/personalized-badge/supercongan?period=total&units=international_system&left_color=black&right_color=blue&left_text=Downloads)](https://pepy.tech/project/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.
        
        ## Installation
        To install the latest version, 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(epochs = 5)
        model.sample(n = 10)
        ```
        
        ## Documentation
        
        Will be added shortly.
        
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
