feature-engine/feature_engine
Feature engineering and selection open-source Python library compatible with sklearn.
Repository profile
a feature engineering wrapper for sklearn
Repository updates
Get generated lacava/few development summaries by email, or follow the weekly and monthly RSS feeds.
Sign in to subscribe by email. RSS feeds are public.
Sign in to subscribeTracked growth, recent movement, and commit velocity from stored repository snapshots.
Latest capture 2026-07-07 03:15
6 captures since 2026-05-22
Stars from baseline 0
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-07 03:15
setup.py
python ecosystem,
0 dependencies
Searchable topics, generated tags, and stack labels that explain where this repository fits.
Agent instructions and tool configuration paths found in the repository tree.
Nearest indexed repositories by embedding similarity.
Feature engineering and selection open-source Python library compatible with sklearn.
OpenFE: automated feature generation with expert-level performance
Distributed Evolutionary Algorithms in Python
EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.
Genetic Programming in Python, with a scikit-learn inspired API
A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
https://lacava.github.io/few
README403 Forbidden | https://api.github.com/repos/lacava/few/readme | message=API rate limit exceeded for user ID 260990068. If you reach out to GitHub Support for help, please include the request ID DD96:10F8E0:198D2081:1835E9F3:6A4C6F4A and timestamp 2026-07-07 03:15:22 UTC. For more on scraping GitHub and how it may affect your rights, please review our Terms of Service (h | rate_limit_remaining=0 | rate_limit_reset=1783396811