dataroid

Name	dataroid JSON
Version	0.0.4 JSON
	download
home_page
Summary	A Simple Wrapper For Synthetic Data Generation
upload_time	2023-04-14 09:42:58
maintainer
docs_url	None
author	torchd3v
requires_python
license
keywords	python data generate synthetic deep learning model
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            ## Installation
```sh
pip install dataroid
```
# Usage Example
```python3
from dataroid import Bot
import pandas as pd

data = pd.read_csv("shopping.csv")

model = Bot(data)
model.generate(5)
```

## Dependencies
- [pandas - A Python package that provides fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. ](https://pandas.pydata.org/)
- [ctgan - CTGAN is a collection of Deep Learning based synthetic data generators for single table data, which are able to learn from real data and generate synthetic data with high fidelity.](https://sdv.dev/)

## Citation
*Lei Xu, Maria Skoularidou, Alfredo Cuesta-Infante, Kalyan Veeramachaneni.* **Modeling Tabular data using Conditional GAN**. NeurIPS, 2019.

```LaTeX
@inproceedings{ctgan,
  title={Modeling Tabular data using Conditional GAN},
  author={Xu, Lei and Skoularidou, Maria and Cuesta-Infante, Alfredo and Veeramachaneni, Kalyan},
  booktitle={Advances in Neural Information Processing Systems},
  year={2019}
}
```

            

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