predict method for support vector object
Prediction of test data using support vector machines
## S4 method for signature 'ksvm' predict(object, newdata, type = "response", coupler = "minpair")
object |
an S4 object of class |
newdata |
a data frame or matrix containing new data |
type |
one of |
coupler |
Coupling method used in the multiclass case, can be one
of |
If type(object) is C-svc,
nu-svc, C-bsvm or spoc-svc
the vector returned depends on the argument type:
response |
predicted classes (the classes with majority vote). |
probabilities |
matrix of class probabilities (one column for each class and one row for each input). |
votes |
matrix of vote counts (one column for each class and one row for each new input) |
If type(object) is eps-svr, eps-bsvr or
nu-svr a vector of predicted values is returned.
If type(object) is one-classification a vector of
logical values is returned.
Alexandros Karatzoglou
alexandros.karatzoglou@ci.tuwien.ac.at
T.F. Wu, C.J. Lin, R.C. Weng.
Probability estimates for Multi-class Classification by
Pairwise Coupling
http://www.csie.ntu.edu.tw/~cjlin/papers/svmprob/svmprob.pdf
H.T. Lin, C.J. Lin, R.C. Weng
A note on Platt's probabilistic outputs for support vector
machines
http://www.csie.ntu.edu.tw/~cjlin/papers/plattprob.pdf
## example using the promotergene data set
data(promotergene)
## create test and training set
ind <- sample(1:dim(promotergene)[1],20)
genetrain <- promotergene[-ind, ]
genetest <- promotergene[ind, ]
## train a support vector machine
gene <- ksvm(Class~.,data=genetrain,kernel="rbfdot",
kpar=list(sigma=0.015),C=70,cross=4,prob.model=TRUE)
gene
## predict gene type probabilities on the test set
genetype <- predict(gene,genetest,type="probabilities")
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