net.predictFcn produces 'Argument to dynamic structure reference must evaluate to a valid field name.'

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The following code works great, i.e. I get the correct result an d a good performance score. How ever when I use the net.predictFcn on a new matrix or in fact on the trining data I get the 'Argument to dynamic structure reference must evaluate to a valid field name.' error. I've looked at other example from people who have got the same error but cannot work out the issue. The code snippit is :-
Inps = readtable("D:\RacingFormBook\Res.xlsx", opts, "UseExcel", false);
%% Clear temporary variables
clear opts
Outs=Inps(:,11);
Inps = removevars(Inps, 'FPos');
OutsM=table2array(Outs);
OutsM=OutsM';
%Convert catergorical to numeric next using unique
[GN, ~, CourseC] = unique(Inps(:,3));
[GN, ~, GoingC] = unique(Inps(:,4));
[GN, ~, HorseC] = unique(Inps(:,5));
[GN, ~, JockeyC] = unique(Inps(:,6));
[GN, ~, TrainerC] = unique(Inps(:,9));
Inps = removevars(Inps, {'Course','Going','HorseName','Jockey','Trainer'});
InpsM = table2array(Inps);
InpsMC=cat(2,InpsM,CourseC,GoingC,HorseC,JockeyC,TrainerC);
InpsMC=InpsMC';
clear GoingC HorseC TrainerC CourseC JockeyC GN Inps Outs InpsM
InpsMCG=gpuArray(InpsMC);
OutsMG=gpuArray(OutsM);
net=feedforwardnet([60,30,1]);
net.trainFcn = 'trainscg';
net=train(net,InpsMCG,OutsMG);
Then I try the net.predictFcn on InpsMCG or another set of imported results and get the error. I'm really stumped so has anyone got any ideas?
SPG

采纳的回答

Stephen Gray
Stephen Gray 2023-7-18
Hi all. Solved it myself. I should have been using net(matrix) instead of predictFcn to get the results. Error is a bit misleading though.
SPG

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