Description Usage Arguments Examples

This function transforms a dataset into the activations of the neurons of the hidden layer of a neural network. This is done by training a neural network and then computing the activations of the neural network for each input pattern

1 | ```
nnp2(x, y, hidden, steps)
``` |

`x` |
is a data.frame that contains the inputs of the dataset |

`y` |
is a vector that contains the outpus of the dataset |

`hidden` |
is a vector that contains the number of neurons for each hidden layer |

`rep` |
is the number of iterations used for training the neural network |

1 2 |

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