RNNE: Ensemble of Random Neural Networks

In peterxeno/ImbalancedBagR: Random Neural Network Ensemble for Imbalanced Classification

Description

This function trains an ensemble of random neural networks using balanced bootstrapped data

Usage

RNNE(formula, train, mtry = 1, total.nets = 1, max.it = 50,
  verbose = FALSE, n.cores = 1)

Arguments

formula	Formula for containing outcome and all of the predictors of interest
train	Training dataset
mtry	Number of predictors to randomly try
total.nets	Number of total networks to train
max.it	Number of iterations for training a network
verbose	Whether or not to be verbose
n.cores	Number of cores to use
hidden.layers	Number of hidden layers
hidden.units	Number of neurons in a hidden unit

Value

A list with each element as a neural network

Author(s)

Peter Xenopoulos

Examples

RNNE(formula, train, mtry = 3, total.nets = 10, hidden.layers = 3, max.it = 50, verbose = TRUE, n.cores = 1)

peterxeno/ImbalancedBagR documentation built on May 8, 2019, 1:14 p.m.