Large-Scale Multi-Label Classification

by Abinash Panda for Shogun Machine Learning Toolbox

This proposal focuses on extending support for approximate inference in current structured output framework in Shogun: 1) Implementing large-scale multi-label classification algorithms such as online structured learning and multi-label prediction using feature hashing. 2) Implementing the calibrated label ranking for large- scale multi-label structured output learning problems.