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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.

Screenshots

  • caafe-0.1.6
    ~amd64 ~x86
    full python_targets_python3_11 python_targets_python3_12 python_targets_python3_13 python_targets_python3_14

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    Overlay: pypi

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