I trained a NNET Caret Model with three sizes in tuning function.The final Model was fitted with one size. It was choosed by the smallest RMSE, automatically.
Neural Network 9700 samples 23 predictorPre-processing: centered, scaled Resampling: Cross-Validated (8 fold, repeated 8 times) Summary of sample sizes: 8488, 8488, 8487, 8485, 8488, 8488, ... Resampling results across tuning parameters: size RMSE Rsquared RMSE SD Rsquared SD 12 0.0328 0.951 0.002033 0.006127 24 0.0221 0.978 0.001358 0.002764 72 0.0134 0.992 0.000647 0.000815 Tuning parameter 'decay' was held constant at a value of 5e-04RMSE was used to select the optimal model using the smallest value.The final values used for the model were size = 72 and decay = 5e-04. But I want to explore the models trained with the others sizes too.Can I use the the predict function with others tunning parameters of the model?
