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

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!

[Chen Liying]

problem solved!

[Hans Scharler]

How did you solve this?

Answer 1

[Krishna]

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,

https://in.mathworks.com/help/stats/linearmodel.predict.html

https://in.mathworks.com/help/deeplearning/ref/seriesnetwork.classify.html

Hope this helps.