| FitFFNN(CLEg) | R Documentation |
Feed Forward Neural Net for Classification
FitFFNN(X, y, Xt, yt, size = 1, skip = TRUE)
X |
design matrix, training sample |
y |
binary response vector of 1 and -1 |
Xt |
design matrix, test sample |
yt |
binary response vector of 1 and -1 |
size |
number of nodes in hidden layer |
skip |
if TRUE, no skip layer. Otherwise skip layer. |
list with two components: misclassification rates and confusion matricies for both the training and test samples.
AIM