{"library":"glum","type":"library","category":null,"description":"glum is a Python library providing high-performance implementations of Generalized Linear Models (GLMs), including various distributions and link functions. It focuses on speed and feature richness, supporting regularized fitting (L1, L2, ElasticNet) and cross-validation. The current version is 3.3.0, and it maintains an active release cadence with multiple updates throughout the year.","language":"python","status":"active","version":"3.3.0","tags":["glm","generalized linear model","machine learning","statistics","regularization","scikit-learn-compatible"],"install":[{"cmd":"pip install glum","imports":["from glum import GeneralizedLinearRegressor","from glum import GeneralizedLinearRegressorCV","from glum import PoissonDistribution","from glum import GammaDistribution","from glum import LogLink"]}],"homepage":null,"github":"https://github.com/Quantco/glum","docs":null,"changelog":null,"pypi":"https://pypi.org/project/glum/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":17.6,"avg_import_s":4.51,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/glum/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}