Hi Giulia, it looks like you are facing an error while training your deep neural network for time series forecasting. The error indicates that the batch dimension of your datastore does not match what the network expects.To fix this, first, ensure your datastore is set up correctly. Since you have three sequences (two of size 1 and one of size 4), they need to be the same length for batching. You can pad the shorter sequences with zeros to achieve this.Next, specify the input data format in your training options. For example, you can use the "CBT" format (Channel-Batch-Time) like this:
options = trainingOptions('adam', ...
'InputDataFormats', 'CBT', ...
'MaxEpochs', 100, ...
'MiniBatchSize', 32, ...
'Verbose', false);
Here is an example of how you might set everything up:
data = {[-0.2964 -0.2723 0 0.3049 0.1613 -0.9312], [2.2746]};
dsTrain = arrayDatastore(data, 'OutputType', 'cell');
net = trainnet(dsTrain, net, "mse", options);
By ensuring your sequences are the same length and specifying the correct input format, you should be able to resolve the error. Hope this helps!
