Invalid training data. for network with 1 inputs and 1 output, datastore read function function must return a cell array with 2 columns but it returns cell array with 1 column

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I have labeled signal set containing signal and label data.I created a signaldatastore,sigdata, containing signal member data, and a datastore, lbldata, containing label data from labels specified in the string array lblnames.

lbls = getLabelNames(DataX);
[sgd,lbd] = createDatastores(DataX,lbls)

And then used it as input argument for DeepNetworkDesigner app and use the lstm as trainmodel.

I got the following error during training:Invalid training data. for network with 1 inputs and 1 output, datastore read function function must return a cell array with 2 columns but it returns cell array with 1 column.

How to resolve this issue?

Answer 1

[Venu]

Hi @YangHui,

To resolve the issue you are facing, you need to make sure that the data returned by your datastore's read function matches the expected format for training with the LSTM model.

You can refer to these 2 MATLAB Answers:

https://www.mathworks.com/matlabcentral/answers/1739620-invalid-training-data-for-network-with-1-inputs-and-1-output-datastore-read-function-function-must?s_tid=answers_rc1-1_p1_Topic

https://www.mathworks.com/matlabcentral/answers/736077-why-do-i-get-error-invalid-training-data-for-multiple-input-network-while-training-deep-neural-net?s_tid=answers_rc1-1_p1_Topic

Hope this helps!