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# S3 method for gafs
predict(object, newdata, ...)
a data frame or matrix of predictors.
not currently used
The type of result depends on what was specified in
object$control$functions$predict
.
Only the predictors listed in object$optVariables
are required.
# NOT RUN {
# }
# NOT RUN {
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)
# }
# NOT RUN {
# }
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