predict.gensvm {gensvm}

Predict class labels with the GenSVM model

Description

This function predicts the class labels of new data using a fitted GenSVM model.

Usage

## S3 method for class 'gensvm'
predict(object, newdata, add.rownames = FALSE, ...)

Arguments

object

Fitted gensvm object

newdata

Matrix of new data for which predictions need to be made.

add.rownames

add the rownames from the training data to the predictions

...

further arguments are ignored

Value

a vector of class labels, with the same type as the original class labels.

Author(s)

Gerrit J.J. van den Burg, Patrick J.F. Groenen
Maintainer: Gerrit J.J. van den Burg <[e-mail]>

References

Van den Burg, G.J.J. and Groenen, P.J.F. (2016). GenSVM: A Generalized Multiclass Support Vector Machine, Journal of Machine Learning Research, 17(225):1–42. URL https://jmlr.org/papers/v17/14-526.html.

See Also

plot.gensvm, predict.gensvm.grid, gensvm, gensvm-package

Examples

x <- iris[, -5]
y <- iris[, 5]

# create a training and test sample
attach(gensvm.train.test.split(x, y))
fit <- gensvm(x.train, y.train)

# predict the class labels of the test sample
y.test.pred <- predict(fit, x.test)

# compute the accuracy with gensvm.accuracy
gensvm.accuracy(y.test, y.test.pred)