SVMl {fdm2id} | R Documentation |
Classification using Support Vector Machine with a linear kernel
Description
This function builds a classification model using Support Vector Machine with a linear kernel.
Usage
SVMl(
train,
labels,
cost = 2^(-3:3),
methodparameters = NULL,
tune = FALSE,
...
)
Arguments
train |
The training set (description), as a |
labels |
Class labels of the training set ( |
cost |
The cost parameter (if a vector, cross-over validation is used to chose the best size). |
methodparameters |
Object containing the parameters. If given, it replaces |
tune |
If true, the function returns paramters instead of a classification model. |
... |
Other arguments. |
Value
The classification model.
See Also
Examples
## Not run:
require (datasets)
data (iris)
SVMl (iris [, -5], iris [, 5], cost = 1)
## End(Not run)
[Package fdm2id version 0.9.9 Index]