Metadata-Version: 2.1
Name: paradance
Version: 0.3.3
Summary: Offers a toolset for comprehensive, multi-faceted analysis of data exported from Hive, accompanied by powerful data visualization capabilities.
Home-page: https://github.com/yinsn/paradance
Author: Yin Cheng
Author-email: yin.sjtu@gmail.com
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: imageio
Requires-Dist: matplotlib_venn
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: openpyxl
Requires-Dist: optuna
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: tqdm

# ParaDance

[![Python](https://img.shields.io/badge/python3.6%7C3.7%7C3.8%7C3.9-red?logo=Python&logoColor=white)](https://www.python.org)
[![PyPI](https://img.shields.io/pypi/v/paradance?color=green)](https://pypi.org/project/paradance/)
[![GitHub license](https://img.shields.io/badge/license-MIT-blue.svg)](https://github.com/yinsn/paradance)
[![Read the Docs](https://readthedocs.org/projects/paradance/badge/?version=latest)](https://paradance.readthedocs.io/en/latest/)

ParaDance is a comprehensive Python toolkit tailored for large-scale data analysis. It offers functionalities for data loading, processing, evaluation metrics, sampling, and visualization. Uniquely, ParaDance features multi-objective Bayesian optimization, supporting various aggregation formulas and calculators. This flexibility in multi-objective settings positions ParaDance as a valuable tool for data scientists and researchers.

## Installation

You can install ParaDance using pip:

```bash
pip install --upgrade paradance
```

## Contributing

We welcome contributions! If you're interested in enhancing the features of ParaDance, please create a pull request.

## License

ParaDance is licensed under the MIT License.

## Acknowledgments

We appreciate the community for your support and contributions. Thank you!
