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 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.