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Tiny typo.
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R/mlp.R

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#' @param dropout A number between 0 (inclusive) and 1 denoting the proportion
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#' of model parameters randomly set to zero during model training.
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#' @param epochs An integer for the number of training iterations.
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#' @param activation A single character strong denoting the type of relationship
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#' @param activation A single character string denoting the type of relationship
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#' between the original predictors and the hidden unit layer. The activation
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#' function between the hidden and output layers is automatically set to either
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#' "linear" or "softmax" depending on the type of outcome. Possible values are:

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