update.safs

Update or Re-fit a SA or GA Model

update allows a user to over-ride the search iteration selection process.

Based on the results of plotting a gafs or safs object, these functions can be used to supersede the number of iterations determined analytically from the resamples.

Any values of ... originally passed to gafs or safs are automatically passed on to the updated model (i.e. they do not need to be supplied again to update.

Usage

# S3 method for safs
update(object, iter, x, y, ...)

See Also

gafs, safs

Aliases

• update.safs
• update.gafs

Examples

# 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_search2 <- update(rf_search,
	                 iter = 1,
	                 x = train_data[, -ncol(train_data)],
                     y = train_data$Class)
rf_search2
# }