Predict new samples
## S3 method for class 'gafs' predict(object, newdata, ...)
Only the predictors listed in object$optVariables
are required.
The type of result depends on what was specified in
object$control$functions$predict
.
Max Kuhn
## 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) ## End(Not run)
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