{"library":"ngboost","type":"library","category":null,"description":"NGBoost is a library for probabilistic prediction via gradient boosting that estimates full probability distributions rather than point predictions. Current version is 0.5.10, supporting Python 3.9–3.14. It uses natural gradient boosting to learn parameters of a parametric distribution. Release cadence is periodic, with recent versions adding distribution support (Weibull, HalfNormal, Beta, etc.), numpy2 compatibility, and sklearn compatibility. Maintained by the Stanford ML Group.","language":"python","status":"active","version":"0.5.10","tags":["probabilistic-ml","gradient-boosting","uncertainty-quantification","ngboost","bayesian"],"install":[{"cmd":"pip install ngboost","imports":["from ngboost import NGBRegressor","from ngboost import NGBClassifier","from ngboost.distns import Normal","from ngboost.scores import LogScore"]}],"homepage":null,"github":"https://github.com/stanfordmlgroup/ngboost","docs":"https://stanfordmlgroup.github.io/ngboost/intro","changelog":null,"pypi":"https://pypi.org/project/ngboost/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":23.8,"avg_import_s":9.46,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/ngboost/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}