Skip to content

JoseAngelMartinB/gklr

Repository files navigation

PyPI - Status PyPI - Python Version PyPI-Server Conda-Forge Licence Built Status Coveralls arXiv


GKLR

Generalized Kernel Logistic Regression
Explore the docs »

View Demo · Report Bug · Request Feature

Description

Generalized Kernel Logistic Regression.

(back to top)

Installation

It is possible to install the gklr package using pip

pip install gklr

(back to top)

Authors

GKLR was mainly developed by José Ángel Martín Baos from the University of Castilla-La Mancha (JoseAngel.Martin@uclm.es). The main authors of this package are listed in the AUTHORS file.

(back to top)

Known Issues

There are no known issues at this moment.

(back to top)

License

GKLR is distributed under the MIT License. See LICENSE for more information.

(back to top)

Citation

If you found this repository useful, you can acknowledge the authors by citing:

  • José Ángel Martín-Baos, Ricardo García-Ródenas, Luis Rodriguez-Benitez, Michel Bierlaire (2025). Scalable kernel logistic regression with Nyström approximation: Theoretical analysis and application to discrete choice modelling. Neurocomputing 617, 128975. DOI: 10.1016/j.neucom.2024.128975