IGANN Sparse: Bridging Sparsity and Interpretability with Non-linear Insight

1 code implementation • 17 Mar 2024 • Theodor Stoecker, Nico Hambauer, Patrick Zschech, Mathias Kraus

In this paper, we propose IGANN Sparse, a novel machine learning model from the family of generalized additive models, which promotes sparsity through a non-linear feature selection process during training.

Additive models feature selection