Metadata-Version: 2.1
Name: gkm
Version: 0.1.1
Summary: Kernel Machines with stochastically motivated loss functions
Author-email: Nico Strasdat <nstrasdat@gmail.com>
License: MIT
Project-URL: repository, https://github.com/wotzlaff/gkm
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: scipy>=1.11
Requires-Dist: scikit-learn
Provides-Extra: dev
Requires-Dist: pytest>=7.3.1; extra == "dev"

# Generalized Kernel Method
We connect [*generalized linear models (GLMs)*](https://en.wikipedia.org/wiki/Generalized_linear_model) with [kernel methods](https://en.wikipedia.org/wiki/Kernel_method) (best known from Support Vector Machines) to obtain a *generalized kernel method*.

## Installation


## Usage


## Theoretical Foundation
