could to create the categorical values for 2x2 cell array

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jaah navi
jaah navi 2021 年 6 月 23 日
編集済み: Walter Roberson 2021 年 6 月 23 日
I having cell array of 15x1. A (input training data for clustering)=15×1 cell array
{2×1 double}
{2×1 double}
{2×1 double}
{2×1 double}
{2×1 double}
{2×2 double}
{2×2 double}
{2×2 double}
{2×2 double}
{2×2 double}
{2×3 double}
{2×3 double}
{2×3 double}
{2×3 double}
{2×3 double}
B(targets for clustering) needs to be in the following manner.
[ 1
1
1
1
1
1 1
1 2
2 1
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.
  1 件のコメント
Rik
Rik 2021 年 6 月 23 日
Feel free to reopen this question to edit it and make it more clear.

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回答 (1 件)

Walter Roberson
Walter Roberson 2021 年 6 月 23 日
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
  6 件のコメント
jaah navi
jaah navi 2021 年 6 月 23 日
編集済み: Walter Roberson 2021 年 6 月 23 日
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
jaah navi 2021 年 6 月 23 日
If my code is wrong please guide me how to model the code to train my inputs and targets.

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