{"library":"sklearn-pandas","type":"library","category":null,"description":"sklearn-pandas (current version 2.2.0) provides a bridge between Scikit-Learn's machine learning methods and pandas DataFrames. It allows users to map DataFrame columns to different scikit-learn transformations, which are then recombined into features for model training. The library aims to streamline data preprocessing workflows involving both pandas and scikit-learn.","language":"python","status":"active","version":"2.2.0","tags":["data transformation","scikit-learn","pandas","machine learning","feature engineering","preprocessing"],"install":[{"cmd":"pip install sklearn-pandas","imports":["from sklearn_pandas import DataFrameMapper","from sklearn_pandas import CategoricalImputer","from sklearn_pandas import cross_val_score"]}],"homepage":null,"github":"https://github.com/scikit-learn-contrib/sklearn-pandas","docs":null,"changelog":null,"pypi":"https://pypi.org/project/sklearn-pandas/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":13.7,"avg_import_s":2.68,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/sklearn-pandas/compatibility"},"provenance":{"verified_status":"import_fail","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Fri Jul 10","install_tag":null}}