dummies | Convert a N-category vector to a N-dimension matrix |
folds | Generate a list of index for the n-fold cross-validation |
gen_latin | Generate random numbers of latin hypercube sampling |
gen_sobol | Generate sobol sequence |
gen_unifm | Generate Uniform random numbers |
logl | Calculate the multiclass cross-entropy |
pnn.fit | Create a probabilistic neural network |
pnn.imp | Derive the importance rank of all predictors used in the PNN |
pnn.optmiz_logl | Optimize the optimal value of PNN smoothing parameter based... |
pnn.parpred | Calculate predicted probabilities of PNN by using parallelism |
pnn.pfi | Derive the PFI rank of all predictors used in the PNN |
pnn.predict | Calculate a matrix of predicted probabilities |
pnn.predone | Calculate the predicted probability for each category of PNN |
pnn.search_logl | Search for the optimal value of PNN smoothing parameter based... |
pnn.x_imp | Derive the importance of a predictor used in the PNN |
pnn.x_pfi | Derive the permutation feature importance of a predictor used... |
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