What is the difference between 'divideblock' and 'divideint'?

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In Neural Network Toolbox, what is the difference between 'divideblock' and 'divideint'?
net.divideFcn = 'divideblock';
net.divideParam.trainRatio = 0.6;
net.divideParam.valRatio = 0.2;
net.divideParam.testRatio = 0.2;
---------------------------------------------------------
net.divideFcn = 'divideint';
net.divideParam.trainRatio = 0.6;
net.divideParam.valRatio = 0.2;
net.divideParam.testRatio = 0.2;
And what that means 'divideMode'?
net.divideMode = 'sample';
where 'sample' can be replaced by 'time', 'sampletime', 'all' or 'none'.
Thank you!

Accepted Answer

Greg Heath
Greg Heath on 12 Feb 2014
Have you tried using the help and doc commands?
Have you tried using simple examples without the ending semicolon?
help divideblock
doc divideblock
[trainInd,valInd,testInd] = divideblock(10,0.6,0.2,0.2)
help divideint
doc divideint
[trainInd,valInd,testInd] = divideint(10,0.6,0.2,0.2)
I don't know what sampletime, all or none mean.
However for the creation functions I use
net1 = fitnet;
dividemode1 = net1.dividemode
net2 = patternnet;
dividemode2 = net2.dividemode
net3 = selforgmap;
dividemode3 = net3.dividemode
net4 = timedelaynet;
dividemode4 = net4.dividemode
net5 = narnet;
dividemode5 = net5.dividemode
net6 = narxnet;
dividemode6 = net6.dividemode
Please let us know if you can find creation functions with the other modes.
Hope this helps.
Thank you for formally accepting my answer
Greg
  3 Comments
Greg Heath
Greg Heath on 18 Jan 2018
With divideInt you directly define the integer coordinates for each data division subset.

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