I have two function. One to train a classifier and one to predict test data. If I run the predict function step by step it works fine, however If I call the predict function I get an error. I can't know what is happening due to the code of the function has no errors compiled manually. I've upload the two functions and the data on Github.you can access here
modelFit=mdp(Class = dades[,1],data=dades[,-1],lambda = 1,info.pred = T)
Error in D[row, i] : subscript out of bounds
The reason I could see was that in
D[row, i] , variable
row was overshooting the number of rows in D.
row itself is derived from vec.new :
for(row in vec.new)
This piece is the culprit :
vec.new starts from
nrow(D)+1 , so even the first element is actually just beyond the size of D .
You can insert
cat(row) in code and see.
I guess you will have to think about what
start should be.