🚀 Version 0.12.0 out now! See release notes here. pyGAM is a package for building Generalized Additive Models in Python, with an emphasis on modularity and performance. The API is designed for users ...

Abstract: Generalized additive models (GAMs) can model the nonlinear relationship between a response variable and a set of explanatory variables through smooth functions. GAM is used to assess the ...

Abstract: Recently, an interactive algorithm was proposed for the construction of generalized additive neural networks. Although the proposed method is sound, it has two drawbacks. It is subjective as ...

Most of the statistical methods you are likely to have encountered will have specified fixed functional forms for the relationships between covariates and the response, either implicitly or explicitly ...

Large Language Models (LLMs) are recasting the relationship between humans & technology. There’s a complete transition in how we search, consume, and execute information on the web. LLMs are no longer ...

Chronic kidney disease (CKD) is an important public health problem worldwide; therefore, forecasting CKD mortality rates and death numbers globally is vital for planning CKD prevention programs. This ...

School of Science, Technology, Engineering, and Mathematics, University of Washington, Bothell, Washington 98011, United States Department of Atmospheric Sciences, University of Washington, Seattle, ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Including pairwise or higher-order interactions among predictors of a Generalized Additive Model (GAM) is gaining increasing attention in the literature. However, existing models face an ...

Deployment of machine learning models in real high-risk settings (e.g., healthcare) often depends not only on model’s accuracy but also on its fairness, robustness and interpretability. Generalized ...