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Neural Networks, K fold in patternnet
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i got 3x1 matrices that i wanna classify in to two groups using k fold crossvalidation method.
- i have to train a network with the patternnet algorithm
- and apply to the data the k-fold cross validation method,
Indices = crossvalind('Kfold',inputs , 5);
for i=1:5
test = (Indices == i);
train = ~test;
for n = 1:5
net = patternnet(inputs,targets,h); %test train
net.divideFcn = 'dividetrain';
net.trainParam.goal = MSEgoal;
net.trainParam.min_grad = MinGrad;
[net,tr] = train(net,inputs,targets); % test train
bestepoch = tr.best_epoch;
R2(n,h) = 1 - tr.perf(bestepoch)/MSEtrn00;
end
the above code is really wrong can someone correct it? its urgent
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