Problem with "Confusion" in neural network toolbox

I am using matlab r2009b and implementing classification problem (mentioned here http://www.mathworks.com/matlabcentral/answers/89395-early-stopping-method-in-neural-networks-digits-recognition). During training, after validation stop occurs, I try to see confusion plots and I get error "??? Error using ==> confusion at 60 Targets are not all 1/0 values." As I said in a link above tagets are values from 1-10, how can i fix it? Morover, I tried using nprtool and I cannot fill space for targets

Any idea how to fix both problems? Thanks in advance

Answer 1

[Greg Heath]

If you have a c-class classifier, the target matrix should contain columns of the c-dimensional unit matrix eye(c).

If the output transfer function is softmax, logsig or the unfortunate tansig default, the output matrix components should be in the interval (0,1).

If the output transfer function is purelin, there may be outputs outside the [ 0,1 ]interval. That should not affect classification if compet and/or vec2ind is used

 help compet
 help vec2ind

Thank you for formally accepting my answer

Greg

Answer 2

[D C]

I used ind2vec and now my targets are 10x5000 matrix instead of 1x5000, but still doesn't work "N-dimensional indexing allowed for Full matrices only."

[Greg Heath]

 help sparse

 help full