How is it possible to separate features and target (both numerical values) in a tabular text datastore for input in Matlab's Deep Network Design module?

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paulo silva
paulo silva on 7 Dec 2021
Commented: yanqi liu on 9 Dec 2021
Hello everyone, I have a dataset contained in a tabular text datastore with 10 features and the target with a total of 500 rows. My restriction is the mandatory use of Matlab's Deep Network Design module. So, as this Matlab module only accepts datastore as input, I needed to know how to separate target from features in this type of structure. There is a very rich documentation when it comes to image datastore, but numeric datastore I didn't find anything useful and I don't know how to do it. Remembering that I cannot make the neural network by code, the restriction is the use of the Matlab module. If anyone can give me this hand, I would be immensely grateful :)

Answers (1)

yanqi liu
yanqi liu on 8 Dec 2021
yes,sir,use Deep Network Design can get model structure and export it to script,may be export and modify it in code
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