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Error in weighted classification layer implementation (following matlab documentation)

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Diego Alvarez Estevez
I am following Matlab documentation to implement a custom weighted cross-entropy loss function:
https://nl.mathworks.com/help/deeplearning/ug/create-custom-weighted-cross-entropy-classification-layer.html#mw_f8874094-d1f5-4356-839d-bfeaa1bb710e
However, when I try the code on R2018b I get the following error:
No appropriate method, property, or field 'OutputSize' for class 'weightedClassificationLayer'
Anybody knows what the problem is?
My layer sequence:
layers = [ ...
sequenceInputLayer(dimPattern)
lstmLayer(numHiddenUnits,'OutputMode','last')
fullyConnectedLayer(numClasses)
softmaxLayer
weightedClassificationLayer(lossWeights)
];
Maybe handy: I am using a mini-batch datastore as input to "trainNetwork", does it make a difference?

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