Factual package intelligence from PyPI

caafe 0.1.6 package intelligence

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.

pip install caafe

Current version
0.1.6
Python requirement
>=3.7
License
LICENSE.txt
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
45.3 KiB
Release history
6 releases with files
Median release cadence
2 days

caafe dependencies

PyPI declares 7 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. openai
  2. kaggle
  3. openml ==0.12.0
  4. tabpfn

Compatibility and release files

caafe publishes 1 wheel and 1 source archive for version 0.1.6. Wheel platform tags: any.

Declared Python classifiers: 3.7, 3.8, 3.9.

Release activity and sources

PyPI lists 6 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .