Error: nrow(x) == n is not TRUE when using Train in Caret

Question

I have a training set that looks like

Name       Day         Area         X    Y    Month Night
ATTACK    Monday   LA           -122.41 37.78   8      0
VEHI         


        

Answer 1

Even though in the help file of train said either maxtrix or data frame would be expected, but you can try to convert the matrix to a data frame:

model <- train(y=ynn, x=as.data.frame(mnn), method='nnet',linout=TRUE, trace = FALSE, trControl = nnTrControl,metric="logLoss", tuneGrid=nnGrid)

Answer 2

y should be a numeric or factor vector containing the outcome for each sample, not a matrix. Using

train(y = make.names(trainDF$Name), ...)

helps, where make.names modifies values so that they could be valid variable names.