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Author:
Noah Hollmann, Samuel Müller, Frank Hutter
License:
LICENSE.txt
Summary:
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.
Latest version:
0.1.6
Required dependencies:
kaggle
|
openai
|
openml
|
tabpfn
Optional dependencies:
autofeat
|
featuretools
|
tabpfn
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