{"library":"boruta","type":"library","category":null,"description":"Boruta-Py is a Python implementation of the Boruta all-relevant feature selection algorithm, originally developed in R. It helps identify all features that are relevant to a prediction task, rather than just a minimal optimal subset. The library follows a scikit-learn-like interface, allowing seamless integration into existing machine learning workflows. As of version 0.4.3, the library is actively maintained with periodic releases addressing community-reported issues.","language":"python","status":"active","version":"0.4.3","tags":["feature selection","machine learning","scikit-learn","random forest","ensemble methods","data preprocessing"],"last_verified":"Sun May 24","install":[{"cmd":"pip install Boruta","imports":["from boruta import BorutaPy"]}],"homepage":null,"github":"https://github.com/danielhomola/boruta_py","docs":null,"changelog":null,"pypi":"https://pypi.org/project/boruta/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":9.3,"avg_import_s":3.46,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/boruta/compatibility"}}