How to use setwb?

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John F
John F 2021-12-4
Say I have an already fully configured Neural Network net. I am trying to write the algorithm for the cascade k-fold cross validation of this network. For the first fold I initialize the weights randomly (using initnw). I would like all following folds to get the weights that resulted from the training of the previous fold using initwb and setwb. The relevant code snippet looks like the following:
for i=1:numberOfFolds
if (i==1)
net = init(net); % Random initialization
else
% bestIW{i-1} and bestLW{i-1} are the net.IW and net.LW
% of the best trained network of the previous fold
net.layers{1:end}.initFcn = 'initwb';
net = setwb(net,[bestIW{i-1},bestLW{i-1}]);
end
end
When I run the full code I get the following error message:
Index exceeds the number of array elements (12).
I'm not sure how to format the second arguement of the setwb command in order for this to work. Also, do I need to run init(net) after setwb?

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