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: about 1 month 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: 2025-01-29T14:49:53.000Z (3 months ago)
- Last Synced: 2025-03-17T23:56:43.836Z (about 2 months ago)
- Language: Python
- Homepage:
- Size: 2.02 MB
- Stars: 49
- Watchers: 3
- Forks: 16
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- StarryDivineSky - yinsn/ParaDance
README
# ParaDance
[](https://www.python.org)
[](https://pypi.org/project/paradance/)
[](https://github.com/yinsn/paradance)
[](https://pepy.tech/project/ParaDance)
[](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!