ELMR (version 1.0)

predict_elm: Prediction function for the ELM model generated with the elm_training() function

Description

Prediction function for the ELM model generated with the elm_training() function

Usage

predict_elm(model, test)

Arguments

model

the output of the elm_training() function

test

dataset used to perform the testing of the model, the first column must be the column to be fitted for the regression or the labels for the classification

Value

returns the accuracy on the testset

References

[1] N.-Y. Liang, G.-B. Huang, P. Saratchandran, and N. Sundararajan, "A Fast and Accurate On-line Sequential Learning Algorithm for Feedforward Networks" IEEE Transactions on Neural Networks, vol. 17, no. 6, pp. 1411-1423, 2006

Examples

x = runif(100, 0, 50)
y = sqrt(x)
train = data.frame(y,x)
train = data.frame(preProcess(train))
model = OSelm_train.formula(y~x, train, "regression", 100, "hardlim", 10, 10)
#' x = runif(100, 0, 50)
y = sqrt(x)
test = data.frame(y,x)
test = data.frame(preProcess(train))
accuracy = predict_elm(model, test)