update.safs

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Update or Re-fit a SA or GA Model

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

Keywords
models
Usage
## S3 method for class 'gafs':
update(object, iter, x, y, ...)

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

Arguments
object
An object produced by gafs or safs
iter
a single numeric integer
x, y
the original training data used in the call to gafs or safs
...
not currently used
Details

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.

Value

See Also

gafs, safs

Aliases
  • update.safs
  • update.gafs
Examples
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
Documentation reproduced from package caret, version 6.0-52, License: GPL (>= 2)

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