R: A function that provides class label predictions for objects...
predict
R Documentation
A function that provides class label predictions for objects
returned by the "ramsvm" function.
Description
This function provides predictions on a test data set
using the obtained classifier from a call of the ramsvm
function.
Usage
## S4 method for signature 'ramsvm'
predict(object,newdata=NULL,lambda=NULL,...)
Arguments
object
An object returned by the "ramsvm" function.
newdata
The new predictor matrix. The number and order of
predictors in newdata should be the same as those of
x, which is used in the ramsvm function. If not
specified, the program uses the training x matrix
as the prediction object.
lambda
The lambda values on which the user wants to predict.
If not specified, the program will use the lambda
values returned by the ramsvm function.
...
Not used.
Value
pred.y
A prediction is made for each lambda
value.
Author(s)
Chong Zhang, Yufeng Liu, and Shannon Holloway
References
C. Zhang, Y. Liu, J. Wang and H. Zhu. (2015+).
Reinforced Angle-based Multicategory Support Vector Machines.
Journal of Computational and Graphical Statistics, in press.
See Also
ramsvm
Examples
data(iris)
a <- ramsvm(x = as.matrix(iris[,-5]),
y = iris[,5],
lambda = 0.2,
kernel="gaussian")
predict(a)