Offers a toolset for comprehensive, multi-faceted large-scale data analysis and optimizations.
Project description
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:
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!
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file paradance-0.6.5.tar.gz.
File metadata
- Download URL: paradance-0.6.5.tar.gz
- Upload date:
- Size: 32.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/2.0.1 CPython/3.9.21 Darwin/24.2.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
63b35c3a9c2d3aed9b025a7c935c8715c0e52a08c4a39bdcbb4fbfed3166808c
|
|
| MD5 |
1f684299261414cb1b9fb4f52d06cd4e
|
|
| BLAKE2b-256 |
234a9093532dbf19051f0d338c7c00605e69c2e94e1a20b25ec8d3869c3821da
|
File details
Details for the file paradance-0.6.5-py3-none-any.whl.
File metadata
- Download URL: paradance-0.6.5-py3-none-any.whl
- Upload date:
- Size: 53.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/2.0.1 CPython/3.9.21 Darwin/24.2.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c1a28740227b6c8c46cf47fe43c343964d1b75333ed141f96078936afc2dafd3
|
|
| MD5 |
923a4d5c48292d0927d1728a679fa9e1
|
|
| BLAKE2b-256 |
303553ff75bb8e7a317a5bdcddaadd839a074fdeb7321c5a137670e032c1e682
|
