rfeControl
From caret v5.07-001
by Max Kuhn
Controlling the Feature Selection Algorithms
This function generates a control object that can be used to specify the details of the feature selection algorithms used in this package.
- Keywords
- utilities
Usage
rfeControl(functions = NULL,
rerank = FALSE,
method = "boot",
saveDetails = FALSE,
number = ifelse(method %in% c("cv", "repeatedcv"), 10, 25),
repeats = ifelse(method %in% c("cv", "repeatedcv"), 1, number),
verbose = FALSE,
returnResamp = "all",
p = .75,
index = NULL,
timingSamps = 0)
Details
Backwards selection requires function to be specified for some operations.
The fit
function builds the model based on the current data set. The arguments for the function must be:
x
y
first
last
first
, but TRUE
when the last model is fit with the final subset size and
predictors.}
...
rfe
}
Value
- A list
code
itemize
y
item
x
x
y
metric
maximize
size
pkg
caret
See Also
rfe
, lmFuncs
, rfFuncs
, treebagFuncs
, nbFuncs
, pickSizeBest
, pickSizeTolerance
Community examples
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