error using trainNetwork Invalid training data. Responses must be a matrix of numeric responses, or a N-by-1 cell array of sequences, where N is the number of sequences

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arash rad 2022-11-8

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https://ww2.mathworks.cn/matlabcentral/answers/1846058-error-using-trainnetwork-invalid-training-data-responses-must-be-a-matrix-of-numeric-responses-or

I have this following code and the data set is traffic flow that gathered every 15 seconds and I want to predict data flow but i faced an error "Invalid training data. Responses must be a matrix of numeric responses, or a N-by-1 cell array of sequences, where N is the number of sequences. The feature dimension of all sequences must be the same"and I can't fix it can anyone help me with it

My code is :

clc
close all
clear all
warning off
[~,~,flow_data] = xlsread('two_days.xlsx'); % Here we have two days data
data_mat  = cell2mat(flow_data(2:end,3:4));
YTrain = data_mat(:,:)';
XTrain =  data_mat(:,:)';
% 
% % 
XTrain = num2cell(XTrain,1)';
YTrain = num2cell(YTrain,1)';
numResponses = 1 ;
% numResponses = size(YTrain{1},1);
featureDimension = size(XTrain{1},1);
numHiddenUnits = 100;
layers = [ ...
    sequenceInputLayer(featureDimension)
    lstmLayer(numHiddenUnits)
%     dropoutLayer(0.1)  %%0.5
    fullyConnectedLayer(numResponses)
    regressionLayer];
maxepochs = 500;
miniBatchSize = 1;
options = trainingOptions('adam', ...  %%adam
    'MaxEpochs',maxepochs, ...
    'GradientThreshold',1, ...
    'InitialLearnRate',0.005, ...
    'LearnRateSchedule','piecewise', ...
    'LearnRateDropPeriod',125, ...
    'LearnRateDropFactor',0.2, ...
    'Verbose',1, ...
    'Plots','training-progress');
%%Train the Network
net = trainNetwork(XTrain,YTrain,layers,options);
% YTest = data_mat(0.85*length(data_mat):end,1)';
% XTest =  data_mat(0.85*length(data_mat):end,1)';
% 
% XTest = num2cell(XTest,1);
% YTest = num2cell(YTest,1);
% 
% net = resetState(net);
% YPred = predict(net,XTest)
% 
% 
% y1 = (cell2mat(YPred(1:end, 1:end)));  %have to transpose as plot plots columns
% plot(y1)
% hold on
% y2 = (cell2mat(YTest(1:end, 1:end))');
% plot(y2)