function [ pred,predStd,gprStrength_Mdl] = fit_GP_R_w_N( Features,Labels,sampleIdx,pred_idx,Kernelfnc) % fit gaussian processes regression (GPR) model with features and labels % with index "sampleIdx" and make predictions for features with index % "pred_idx". % % Parameters: % Features Data % Labels Labels % sampleIdx Index of training data % pred_idx Index of data to predict % % Input parameters: % Features Data % Labels Labels % sampleIdx Index of training data % pred_idx Index of data to predict % Kernelfnc Kernel function for GPR % % Output parameters: % pred Predicted strength % predStd Standard deviation of predicted strength from JKB % gprStrength_Mdl ML Model gprStrength_Mdl = fitrgp(Features(sampleIdx,:),Labels(sampleIdx),'KernelFunction',Kernelfnc,'FitMethod','fic'); [pred,predStd]=predict(gprStrength_Mdl,Features(pred_idx,:)); end