Generalized Linear Model (GLM)

Description

This generalized linear model (GLM) algorithm can be used to fit a model to a dataset for Gaussian, binomial, Poisson, and survival distributions.

The implementation is described by Cellamare et al. (2022).

Authors

Bart van Beusekom, Hasan Alradhi, Matteo Cellamare, and Frank Martin.

Source code

The source code is available in the following GitHub repository.

Contents

• Implementation
  • Overview
  • Partials
  • Central (glm)
• How to use
  • Input arguments
  • Python client example
• Privacy
  • Guards
  • Data sharing
  • Vulnerabilities to known attacks
• Validation
• References
  • Cite this implementation
  • Used sources