How can I get the predicted YValidation data using LSTM model?

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Chen Liying
Chen Liying el 18 de Ag. de 2022
Respondida: Krishna el 6 de Jun. de 2024
Hi, I did a LSTM model, just like the link mentioned(https://ww2.mathworks.cn/help/deeplearning/ref/trainnetwork.html), I specified the ValidationData in the opts.
options = trainingOptions("sgdm", ...
MaxEpochs=8, ...
ValidationData={XValidation,YValidation}, ...
ValidationFrequency=30, ...
Verbose=false, ...
Plots="training-progress");
Because I want draw a picture including the YValidation data(which I specified) and predicted-YValidation data(which derived from the training net), the question is "How can I get the predicted YValidation data"?
Thank you!

Respuestas (1)

Krishna
Krishna el 6 de Jun. de 2024
Hi Chen,
I understand that you want to obtain the Yvalidation from the network, the Xvalidation output which you are using for validation. It's quite straightforward, you can use the predict function or classify function to get the output, just like you do with the testing dataset. Since the validation dataset is not used for training, it can be treated as a testing dataset.
Please go through the following documentation to learn more,
Hope this helps.

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