{"library":"mrmr-selection","type":"library","category":null,"description":"mrmr-selection implements the minimum-Redundancy-Maximum-Relevance (mRMR) algorithm for feature selection. Version 0.2.8 is current, with releases on a slow cadence. It supports classification and regression tasks, using mutual information and F-statistic to rank features.","language":"python","status":"active","version":"0.2.8","tags":["feature-selection","mrmr","mutual-information"],"last_verified":"Sun Jun 07","install":[{"cmd":"pip install mrmr-selection","imports":["from mrmr import mrmr_classif","from mrmr import mrmr_regression"]}],"homepage":"https://github.com/smazzanti/mrmr","github":"https://github.com/smazzanti/mrmr","docs":null,"changelog":null,"pypi":null,"npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}