https://github.com/yinsn/ParaDance

Offers a toolset for comprehensive, multi-faceted large-scale data analysis and optimizations
https://github.com/yinsn/ParaDance

Last synced: 4 months ago
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Offers a toolset for comprehensive, multi-faceted large-scale data analysis and optimizations

• Host: GitHub
• URL: https://github.com/yinsn/ParaDance
• Owner: yinsn
• License: mit
• Created: 2023-05-23T06:46:39.000Z (almost 2 years ago)
• Default Branch: develop
• Last Pushed: 2024-10-30T14:57:55.000Z (4 months ago)
• Last Synced: 2024-10-30T15:47:55.679Z (4 months ago)
• Language: Python
• Homepage:
• Size: 1.82 MB
• Stars: 40
• Watchers: 4
• Forks: 15
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• StarryDivineSky - yinsn/ParaDance

README

        


# ParaDance

[![Python](https://img.shields.io/badge/python3.9-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)

[![Downloads](https://static.pepy.tech/badge/ParaDance)](https://pepy.tech/project/ParaDance)

[![Downloads](https://static.pepy.tech/badge/ParaDance/month)](https://pepy.tech/project/ParaDance)

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!