{"library":"feature-engine","type":"library","category":null,"description":"Feature-engine is an open-source Python library offering a comprehensive suite of transformers for feature engineering and selection in machine learning. It provides functionality for missing data imputation, categorical encoding, discretisation, outlier handling, feature transformation, creation, and selection. Compatible with Scikit-learn's `fit()` and `transform()` API, Feature-engine currently stands at version 1.9.4 and undergoes routine development with new releases.","language":"python","status":"active","version":"1.9.4","tags":["machine learning","feature engineering","feature selection","data science","preprocessing","scikit-learn","imputation","encoding"],"last_verified":"Sun May 24","install":[{"cmd":"pip install feature-engine","imports":["from feature_engine.imputation import MeanMedianImputer","from feature_engine.encoding import OneHotEncoder","from feature_engine.selection import DropCorrelatedFeatures"]},{"cmd":"conda install -c conda-forge feature_engine","imports":[]}],"homepage":null,"github":"http://github.com/feature-engine/feature_engine","docs":null,"changelog":null,"pypi":"https://pypi.org/project/feature-engine/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":16.2,"avg_import_s":4.01,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/feature-engine/compatibility"}}