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pypi.org : caafe

Context-Aware Automated Feature Engineering (CAAFE) is an automated machine learning tool that uses large language models for feature engineering in tabular datasets. It generates Python code for new features along with explanations for their utility, enhancing interpretability.

Registry - Source - Documentation - JSON
purl: pkg:pypi/caafe
Keywords: automl, data-science, deep-learning, feature-engineering, machine-learning, tabpfn
License: Other
Latest release: 11 months ago
First release: 12 months ago
Downloads: 123 last month
Stars: 85 on GitHub
Forks: 15 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 12 days ago

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