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Error with the function 'trainNetwork'. Error: 'Invalid training data. Responses must be a vector of categorical responses, or a cell array of categorical response sequences.' Line 170.

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Collin Gwilt
Collin Gwilt on 13 Nov 2020
Answered: Mahesh Taparia on 18 Nov 2020
I am attempting to train a NN to classify a Gaussian that has 4 separate classes. I have several different sample sizes, but currently I am focussing on the sample size of 500. The 'Ytrain' vector is called 'labels_train' and when entering it into the function it is 500x1 with each row corresponding to a column in x_train. x_train is a 3x500 vector with 3 features and each column corresponds to the respective row in 'labels_train'. I repeatidly get the error listed above; any idea why? Thanks a bunch.
Also when I attempt to use the categorical() function on the labels_train, I get the following error:
Invalid training data. Sequence responses must have the same sequence length as the corresponding predictors.

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Collin Gwilt
Collin Gwilt on 13 Nov 2020
The labels are integers in the range of 1-4, depending on the class for the respective column in 'x_train'
Collin Gwilt
Collin Gwilt on 14 Nov 2020
I have tried using that function, but then I get the following error:
Invalid training data. Sequence responses must have the same sequence length as the corresponding predictors.
Sorry for my incompetence, this is my first time using NNs.

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Answers (1)

Mahesh Taparia
Mahesh Taparia on 18 Nov 2020
Hi
I assume the first error is resolved by Walter comment.
It seems the size of 'labels_train' is 1x500 and 'x_train' is 3x500. You are making the transpose of labels while calling trainNetwork which is making labels_train as 500X1 and hence size of input and labels are not consistent. The work around is keep the size of 'x_train' as 500X3 and 'labels_train' as 500X1. Or consider the below code:
net=trainNetwork(x_train.set3',labels_train.set3',layers,options);
Hope it will helps!

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