could to create the categorical values for 2x2 cell array

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jaah navi 2021-6-23

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编辑： Walter Roberson 2021-6-23

I having cell array of 15x1. A (input training data for clustering)=15×1 cell array

{2×1 double}

{2×2 double}

{2×3 double}

B(targets for clustering) needs to be in the following manner.

[ 1

1 1

1 2

2 1

1 2

1 2 2

2 1 1

1 3 2

1 1 2

2 2 1]

Could you please help me to get it.

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Rik 2021-6-23

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Walter Roberson 2021-6-23

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https://ww2.mathworks.cn/matlabcentral/answers/863050-could-to-create-the-categorical-values-for-2x2-cell-array#answer_731345

在 MATLAB Online 中打开

B = cellfun(@convert_to_categorical, A, 'uniform', 0);
function C = convert_to_categorical(M)
   if iscell(M)
      C = cellfun(@convert_to_categorical, M, 'uniform', 0);
   else
      C = categorical(M);
   end
end

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jaah navi 2021-6-23

编辑：Walter Roberson 2021-6-23

在 MATLAB Online 中打开

i used ctarg(B) command for my targets. thanks for it.

But when I implement it to train the model using the following code

A
 B
inputSize = 2;
numHiddenUnits = 100;
numClasses = 3;
layers = [ ...
sequenceInputLayer(inputSize)
fullyConnectedLayer(3)
reluLayer
regressionLayer]
maxEpochs = 50;
miniBatchSize = 50;
options = trainingOptions('adam', ...
    'ExecutionEnvironment','cpu', ...
    'MaxEpochs',maxEpochs, ...
    'MiniBatchSize',miniBatchSize, ...
    'GradientThreshold',1, ...
    'Verbose',false, ...
    'Plots','training-progress');
net = trainNetwork(XTrainCopy,ctarg,layers,options);

i am getting error stating 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.

Error in seven (line 21)

net = trainNetwork(A,B,layers,options);

Caused by:

Error using nnet.internal.cnn.util.NetworkDataValidator/assertValidSequenceResponse (line

356)

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.

Could you please help me to overcome it.

jaah navi 2021-6-23