Hello OB,
The best way to import your data into Deep Network Designer by forming two array datastores and combining into a single datastore using the combine function.
For the data you provided, you can do the following:
load data.mat
numFeatures = size(inputs,1);
% All inputs have the same number of timesteps so we
% can get the sizes by looking at the first observation
numTimesteps = size(inputs{1}, 1);
numObservations = size(inputs{1}, 2);
% Reshape the inputs from a cell to an array
arrayInputs = zeros(numFeatures, numTimesteps, numObservations);
for ii = 1:numFeatures
arrayInputs(ii,:,:) = inputs{ii};
end
% Generate ArrayDatastores for the inputs and outputs
adsPredictors = arrayDatastore(arrayInputs, "IterationDimension", 3);
adsResponses = arrayDatastore(output', "IterationDimension", 1);
% Generate a combined datastore for the inputs and outputs together
cds = combine(adsPredictors, adsResponses);
This datastore is suitable for use with a network that has a sequenceInputLayer expecting data with 9 features, and a regressionOutputLayer outputting sequences with one feature.
For more information on creating datastores for Deep Network Desginer, you can refer to the following resources:
https://uk.mathworks.com/help/deeplearning/ug/datastores-for-deep-learning.html
