Neural network (fitnet) and data decomposition?

Can you help me to rectify these code, I used fitnet to predict future index. I need to decompose the data only to training and test:

 inputs = P';

 targets = T';

 % Create a Fitting Network

 net = fitnet(hiddenLayerSize);

 % Choose Input and Output Pre/Post-Processing Functions
% For a list of all processing functions type: help nnprocess
 net.inputs{1}.processFcns = {'removeconstantrows','mapminmax'};
 net.outputs{2}.processFcns = {'removeconstantrows','mapminmax'};
 % Setup Division of Data for Training, Validation, Testing
 % For a list of all data division functions type: help nndivide
 net.divideFcn = 'divideblock'; % Divide data into two block (the first 80% of data sample for train and the rest for test)
net.divideMode = 'sample'; 
 % Divide up every sample
 net.divideParam.trainRatio = 80/100;
 % net.divideParam.valRatio = 0;
 net.divideParam.testRatio = 20/100;

 % For help on training function 'trainlm' type: help trainlm
% For a list of all training functions type: help nntrain
 net.trainFcn = 'trainlm';  % Levenberg-Marquardt
 MSEgoal = 0.001

 % Train the Network
[net,tr] = train(net,inputs,targets);

 % Test the Network
 outputs = net(inputs);
 errors = gsubtract(targets,outputs);
 performance = perform(net,targets,outputs)

 % Recalculate Training, Validation and Test Performance

 trainTargets = targets .* tr.trainMask{1};
 % valTargets = targets  .* tr.valMask{1};
 testTargets = targets  .* tr.testMask{1};
 trainPerformance = perform(net,trainTargets,outputs)
 % valPerformance = perform(net,valTargets,outputs)
 testPerformance = perform(net,testTargets,outputs)

Answer 1

[Greg Heath]

The training and test indices are given in tr. Type, without semicolon

 tr = tr

to see what info is in tr.

Hope this helps.

Thank you for formally accepting my answer

Greg

Answer 2

[CH PH]

no result