Official Implementation of the paper "Fair Generalized Linear Models with a Convex Penalty."
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Updated
Oct 26, 2022 - Python
Official Implementation of the paper "Fair Generalized Linear Models with a Convex Penalty."
Benchopt benchmark for GLMs
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Dataiku DSS plugin to train Generalized Linear Models
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simple implementation of standard Gradient Descent algorithm, along with Sigmoid and GLM cost functions
Generic implementation for Generalized Linear Models including Logistic, Poisson and Ordinal Regression for Classification purposes
Lightweight Python library for GLM regression.
Specification language for generating Generalized Linear Models (with or without mixed effects) from conceptual models
Fit generalized linear models in python.
A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-convex penalties.
A library of scalable Bayesian generalised linear models with fancy features
Statsmodels: statistical modeling and econometrics in Python
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