{"library":"category-encoders","type":"library","category":null,"description":"Category Encoders is a Python library providing a comprehensive set of scikit-learn-style transformers for encoding categorical variables into numeric representations using various techniques. It offers first-class support for pandas DataFrames as input and output, and integrates seamlessly with scikit-learn pipelines. The library is actively maintained, with the current version being 2.9.0, and releases occur regularly to introduce new encoders, features, and bug fixes.","language":"python","status":"active","version":"2.9.0","tags":["machine learning","feature engineering","categorical encoding","sklearn"],"last_verified":"Wed May 20","install":[{"cmd":"pip install category-encoders","imports":["from category_encoders import TargetEncoder","from category_encoders import OneHotEncoder","from category_encoders import OrdinalEncoder","from category_encoders import BinaryEncoder"]}],"homepage":null,"github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/category-encoders/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":15.7,"avg_import_s":4.79,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/category-encoders/compatibility"}}