Adaptive Hammerstein-Wiener Modeling Toolkit
copied from cf-staging / hwmHWM is a Python toolkit for adaptive dynamic system modeling, designed to capture complex nonlinear and linear relationships in data through the Hammerstein-Wiener architecture. With a flexible, modular design, HWM integrates seamlessly with Scikit-learn, enabling streamlined workflows for regression, classification, and time-series forecasting tasks.
