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Unleash the Power of Your Data with Feature Engineering: The Ultimate Python Library for Machine Learning Preprocessing and Enhancement
pip install feature-engineering
PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.1.5>=1.19.5>=0.24>=0.7.0>=0.10.3>=7.5.1feature-engineering publishes 0 wheels and 1 source archive for version 2.1.4. Wheel platform tags: No wheel platform tags.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.6, 3.7, 3.8, 3.9.
PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .