TabMixNN: A Unified Deep Learning Framework for Structural Mixed Effects Modeling on Tabular Data
TabMixNN:表格数据结构混合效应建模的统一深度学习框架
We present TabMixNN, a flexible PyTorch-based deep learning framework that synthesizes classical mixed-effects modeling with modern neural network architectures for tabular data analysis. TabMixNN addresses the growing need for methods that can handle hierarchical data structures while supporting diverse outcome types including regression, classification, and multitask learning. The framework implements a modular three-stage architecture: (1) a mixed-effects encoder with…