Error using trainNetwork (line 184) Invalid training data. Predictors must be in a N-by-1 cell array of sequences, where N is the number of sequences.

Question

Joseph James 2022-1-5

0
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https://ww2.mathworks.cn/matlabcentral/answers/1623030-error-using-trainnetwork-line-184-invalid-training-data-predictors-must-be-in-a-n-by-1-cell-array

回答： yanqi liu 2022-1-8

I tried to make a sequential classifier using using a LSTM but I got an error saying:

"Error using trainNetwork (line 184) Invalid training data. Predictors must be in a N-by-1 cell array of sequences, where N is the number of sequences. All sequences must have the same feature dimension and at least one time step."

below I included the code and images.

load Data1
load Data2
load Data1_ds1
load Data2_ds1
XTrain = {Data1;Data2;Data1_ds1;Data2_ds1}
XValidation = {Data1_ds1;Data2_ds1}
TTrain = [1;1;2;2]
TTrain = categorical(TTrain)
TValidation = [1;2]
TValidation = categorical(TValidation) 
XTrain(1:2)
classes = categories(TTrain)
numClasses = numel(classes)
%numClasses = 23
filterSize = 3;
numFilters = 32;
numFeatures = 2;
layers = [ ...
    sequenceInputLayer(numFeatures)
    bilstmLayer(100,'OutputMode','sequence')
    fullyConnectedLayer(2)
    softmaxLayer
    classificationLayer
    ]
miniBatchSize = 27;
% options = trainingOptions("adam", ...
%     MiniBatchSize=miniBatchSize, ...
%     MaxEpochs=10, ...
%     SequencePaddingDirection="left", ...
%     ValidationData={XValidation,TValidation}, ...
%     Plots="training-progress", ...
%     Verbose=0);
options = trainingOptions('adam', ...
    'MaxEpochs',10, ...
    'MiniBatchSize', miniBatchSize, ...
    'InitialLearnRate', 0.01, ...
    'SequenceLength', 100, ...
    'GradientThreshold', 1, ...
    'ExecutionEnvironment',"auto",...
    'plots','training-progress', ...
    'Verbose',false);
net = trainNetwork(XTrain,TTrain,layers,options);