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predict.svmlight

Interface to SVMlight

Predicts new observations using the SVM learned by the svmlight-function.

## S3 method for class 'svmlight'
predict(object, newdata, scal = TRUE, ...)

`object`	Object of class `svmlight`.
`newdata`	Data frame (or matrix) of cases to be predicted.
`scal`	Logical, whether to scale membership values via `e.scal`.
`...`	...

If a classification is learned (type="C") in svmlight a list with elements ‘class’ and ‘posterior’ (scaled, if scal = TRUE).

If a Regression is learned (type="R") in svmlight the predicted values.

## Not run: 
data(iris)
x <- svmlight(Species ~ ., data = iris)
predict(x, iris)

## End(Not run)

Classification and Visualization

v0.6-15

GPL-2 | GPL-3

Authors

Christian Roever, Nils Raabe, Karsten Luebke, Uwe Ligges, Gero Szepannek, Marc Zentgraf, David Meyer

Initial release

2020-02-18