Gaussian process regression (GPR) is a powerful tool for regression tasks, particularly when uncertainty quantification is crucial. While it has limitations in terms of scalability, its flexibility and interpretability make it a valuable method in many scientific and engineering disciplines.
This article shows how to create a time series algorithm based…
