{"library":"forestci","type":"library","category":null,"description":"forestci provides confidence intervals for random forest predictions using the infinitesimal jackknife method. It supports scikit-learn's RandomForestClassifier, RandomForestRegressor, ExtraTreesClassifier, and ExtraTreesRegressor. Version 0.7 includes bug fixes and improved documentation, with no breaking changes from 0.6. The library is stable but released infrequently.","language":"python","status":"active","version":"0.7","tags":["confidence intervals","random forest","scikit-learn","infinitesimal jackknife","machine learning"],"last_verified":"Fri May 01","install":[{"cmd":"pip install forestci","imports":["from forestci import calc_inference","from forestci import random_forest_error","import forestci"]}],"homepage":null,"github":"http://github.com/scikit-learn-contrib/forest-confidence-interval","docs":null,"changelog":null,"pypi":"https://pypi.org/project/forestci/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}