Divide targets into three sets using specified indices
[trainInd,valInd,testInd] = divideind(Q,trainInd,valInd,testInd)
[trainInd,valInd,testInd] = divideind(Q,trainInd,valInd,testInd)
separates targets into three sets: training, validation, and testing, according to indices
provided. It actually returns the same indices it receives as arguments; its purpose is to allow
the indices to be used for training, validation, and testing for a network to be set
manually.
It takes the following inputs,
Q | Number of targets to divide up |
trainInd | Training indices |
valInd | Validation indices |
testInd | Test indices |
and returns
trainInd | Training indices (unchanged) |
valInd | Validation indices (unchanged) |
testInd | Test indices (unchanged) |
[trainInd,valInd,testInd] = ... divideind(3000,1:2000,2001:2500,2501:3000);
Here are the network properties that define which data division function to use, what its
parameters are, and what aspects of targets are divided up, when train
is
called.
net.divideFcn net.divideParam net.divideMode