Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

MLPREG

Multi-Layer Perceptron Regression


Description

This function builds a regression model using MLP.

Usage

MLPREG(
  x,
  y,
  size = 2:(ifelse(is.vector(x), 2, ncol(x))),
  decay = 10^(-3:-1),
  params = NULL,
  tune = FALSE,
  ...
)

Arguments

x

Predictor matrix.

y

Response vector.

size

The size of the hidden layer (if a vector, cross-over validation is used to chose the best size).

decay

The decay (between 0 and 1) of the backpropagation algorithm (if a vector, cross-over validation is used to chose the best size).

params

Object containing the parameters. If given, it replaces size and decay.

tune

If true, the function returns paramters instead of a classification model.

...

Other parameters.

Value

The classification model, as an object of class model-class.

See Also

Examples

## Not run: 
require (datasets)
data (trees)
MLPREG (trees [, -3], trees [, 3])

## End(Not run)

fdm2id

Data Mining and R Programming for Beginners

v0.9.5
GPL-3
Authors
Alexandre Blansché [aut, cre]
Initial release

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.