I am trying to train a MLP


I am trying to train a MLP with training data that contains the same value for certain target nodes for all training inputs. However, when I try to call the trainallmethods method it says that I have to remove this target node because it is constant. I understand that having a output node that does not change in value for different training inputs does not add anything to the training process but I want to keep the MLP output as it is. Is there a way to disable this?

Kind regards,

You could try to circumvent this. Just add a little random fluctuation of e.g. value * (1. + Gauss(0, 1E-5) ) to the values.

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