How to useParallel in system identification?

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Is there a way to use 'useParallel' on the nlarx function in the system identification, like with the train function in the deep learning toolbox? I'm using neuralnet as the nonlinearity. Here's the training section of my script:
%% Training
na = 3;
nb = [3 1 1];
nk = [0 0 0];
net = feedforwardnet(10);
net.trainParam.epochs = 5000;
nonlinearity = neuralnet(net);
sys = nlarx(zt, [na nb nk], nonlinearity);
Any help is greatly appreciated!

Accepted Answer

Rajiv Singh
Rajiv Singh on 16 Aug 2019
Currently there is no way to parallelize model estimation in System Identification Toolbox.

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