Efficient Learning of Minimax Risk Classifiers in High Dimensions

1 code implementation • 11 Jun 2023 • Kartheek Bondugula, Santiago Mazuelas, Aritz Pérez

High-dimensional data is common in multiple areas, such as health care and genomics, where the number of features can be tens of thousands.

feature selection

MRCpy: A Library for Minimax Risk Classifiers

1 code implementation • 4 Aug 2021 • Kartheek Bondugula, Verónica Álvarez, José I. Segovia-Martín, Aritz Pérez, Santiago Mazuelas

MRCpy provides a unified interface for different variants of MRCs and follows the standards of popular Python libraries.