OSelm_train.formula {ELMR}

Trains an extreme learning machine with random weights

Description

Trains an extreme learning machine with random weights

Usage

OSelm_train.formula(formula, data, Elm_type, nHiddenNeurons, ActivationFunction,
  N0, Block)

Arguments

formula

a symbolic description of the model to be fitted.

data

training data frame containing the variables specified in formula.

Elm_type

select if the ELM must perform a "regression" or "classification"

nHiddenNeurons

number of neurons in the hidden layer

ActivationFunction

"rbf" for radial basis function with Gaussian kernels , "sig" for sigmoidal fucntion, "sin" for sine function, "hardlim" for hard limit function

N0

size of the first block to be processed

Block

size of each chunk to be processed at each step

Value

returns all the parameters used in the function, the weight matrix, the labels for the classification, the number of classes found, the bias, the beta activation function and the accuracy on the trainingset