How to specify Test and Validation data for a SeriesNetwork
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An answer I found to another question states there is an "older" type of neural network that is a struct, and a "newer" one that is an object. That seems to be the case because much of the documentation I have found during my searches do not seem to apply to what I'm doing. I'm using the documented way of specifying layers and then calling net = createNetwork(X,Y,layers,options) which in my case creates a SeriesNetwork. But I can't figure out how to specify the split for the data between training, validation, and test. I found this in the documentation but it doesn't seem to apply: Divide Data for Optimal Neural Network Training I don't have a network until I call createNetwork() so I can't possibly specify the split using the above method. I've also looked here: Options for training neural network and the only option I found, 'ValidationData', only applies to images, not series data. Any help will be greatly appreciated.
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