I am trying to create a parameter grid for a gpboosted model. Currently, I am using the grid tune search method, but I have been reading on Bayesian Optimization in the package rBayesianOptimization. However, it seems that there is no simple way to connect a gpboost model with the bayesian tuning. I am able to get the parameter search to start, however, the value is returned as zero. I figured I would ask here if anyone knows how to better connect these processes.