update.safs
From caret v6.0-86
by Max Kuhn
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
.
- Keywords
- models
Usage
# S3 method for safs
update(object, iter, x, y, ...)
Arguments
Value
See Also
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
# }
Community examples
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