Offers a toolset for comprehensive, multi-faceted large-scale data analysis and optimizations.

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  • License: MIT License (MIT)
  • Author: Yin Cheng
  • Requires: Python <4.0, >=3.9
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Project description

ParaDance

Python PyPI GitHub license Read the Docs

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:

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!

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for yin.cheng from gravatar.com yin.cheng

Unverified details

These details have not been verified by PyPI
Project links
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  • License: MIT License (MIT)
  • Author: Yin Cheng
  • Requires: Python <4.0, >=3.9
Classifiers

Release history Release notifications | RSS feed

0.6.3

0.6.2

0.6.1

0.6.0

0.5.8

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This version

0.4.15

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0.2.15

0.2.14

0.2.13

0.2.12

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