Predict new samples

Predict new samples using safs and gafs objects.

# S3 method for gafs
predict(object, newdata, ...)

Arguments

object	an object of class safs or gafs
newdata	a data frame or matrix of predictors.
...	not currently used

Value

The type of result depends on what was specified in object$control$functions$predict.

Details

Only the predictors listed in object$optVariables are required.

See also

safs, gafs

Examples

if (FALSE) {

set.seed(1)
train_data <- twoClassSim(100, noiseVars = 10)
test_data  <- twoClassSim(10,  noiseVars = 10)

## A short example
ctrl <- safsControl(functions = rfSA,
                    method = "cv",
                    number = 3)

rf_search <- safs(x = train_data[, -ncol(train_data)],
                  y = train_data$Class,
                  iters = 3,
                  safsControl = ctrl)

rf_search

predict(rf_search, train_data)
}