Divideind not working in r2014a
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I have data file of 200*62 and i have to split it for training validation and testing (not randomly). So im using divideind function but not able to run the code as im having this error. Looking forward to some help . Thanks in advance here is my code :
inputs = input;
targets = out_final; hiddenLayerSize = 10;
net = patternnet(hiddenLayerSize);
trainInd = 1:100;
valInd = 101:150;
testInd = 151:200;
Q=200;
net.divideFcn='divideind'; %%%here is the error line 21
net.divideParam.trainInd=trainInd;
net.divideParam.valInd=valInd;
net.divideParam.testInd=testInd;
% Train the Network
[net,tr] = train(net,inputs,targets);
% Test the Network
outputs = net(inputs);
errors = gsubtract(targets,outputs);
performance = perform(net,targets,outputs);
% View the Network
view(net)
Error message :
Error in network/subsasgn (line 13) net = network_subsasgn(net,subscripts,v,netname);
Error in div (line 21) net.divideFcn='divideind';
6 Comments
Greg Heath
on 6 Feb 2015
Edited: Greg Heath
on 6 Feb 2015
How many classes?
What are the dimensions of the input and target?
size(inputs) = ?
size(targets) = ?
cell or double?
I ran your code using the iris data set without error.
Try all of the divide functions to see if any of them work.
Hope this helps.
Greg
Sandeep
on 6 Feb 2015
Greg Heath
on 19 Feb 2015
Hi ,
Thank you for your help. It was really helpfull and i could fix my problem. My another doubt is that is it possible to get value of performance greater than 1?
In my code i'm getting values greater than 1. Can u please me suggest me if i'm right or wrong? Code for you reference is in the below link.
Thanks Sandeep
>> net = patternnet;
performFcn = net.performFcn
performFcn = crossentropy
>> help crossentropy
doc crossentropy
type crossentropy
!!!!!!!!!!!!!!!!!!! BUG !!!!!!!!!!!!!
The documentation does not give the formula!
Search NEWSGROUP and ANSWERS using
greg crossentropy
to find which formula is being used.
Hope this helps.
Greg
Sandeep
on 23 Feb 2015
Greg Heath
on 24 Feb 2015
Edited: Greg Heath
on 24 Feb 2015
No. It is automatic. You can figure it yourself from the training record if you first type, without semicolon
tr = tr
Hope this helps.
Greg
Sandeep
on 25 Feb 2015
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