How to make an MLP in the R whose output is a posteriori and the test set classified?

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I used the "neuralnet" function of the package of the same name, but I could not run. Yes, I want to sort, so I have labels.

r mlp
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    There was some error when you tried to run?

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    Hi Wagner, could you elaborate more on your question? The following information is very useful: What is your data? What code did you try to run? What is the expected result?

  • Wagner, it would be interesting for you to bring up the specific example of the problem and explain better the mistake you are having.

  • Dear my problem was in wheels the function "confusionMatrix", because it had three labels and it did not give a matrix 3x3 but a 3x2. But I was able to fix it, the problem was that the training set was bigger than the test set. Very grateful!

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