predict_elm {ELMR} R Documentation

## 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)


[Package ELMR version 1.0 Index]