Derive the importance rank of all predictors used in the GRNN
Search for the optimal value of GRNN smoothing parameter based on r-square
Derive the importance of a predictor used in the GRNN
Derive the permutation feature importance of a predictor used in the GRNN
Calculate predicted values of GRNN by using parallelism
Derive the partial effect of a predictor used in a GRNN
Generate Uniform random numbers
Derive the marginal effect of a predictor used in a GRNN
Derive the PFI rank of all predictors used in the GRNN
Generate random numbers of latin hypercube sampling
Calculate predicted values of GRNN
Optimize the optimal value of GRNN smoothing parameter based on AUC
Generate a list of index for the n-fold cross-validation
Calculate a predicted value of GRNN
Search for the optimal value of GRNN smoothing parameter based on AUC
Generate sobol sequence
Create a general regression neural network