GPTreeO: An R package for continual regression with dividing local
Gaussian processes
GPTreeO: An R package for continual regression with dividing local
Gaussian processes
We introduce GPTreeO, a flexible R package for scalable Gaussian process (GP) regression, particularly tailored to continual learning problems. GPTreeO builds upon the Dividing Local Gaussian Processes (DLGP) algorithm, in which a binary tree of local GP regressors is dynamically constructed using a continual stream of input data. In GPTreeO …