preferenceLoss: The loss function for Preference loss
In bmrm: Bundle Methods for Regularized Risk Minimization Package

Description Usage Arguments Value References See Also Examples

The loss function for Preference loss

1	preferenceLoss(x, P)

`x`	matrix of training instances (one instance by row)
`P`	a data.frame with 3 fields (i,j,cost) that specify the cost for prefering sample j over sample i.

a function taking one argument w and computing the loss value and the gradient at point w

Teo et al. Bundle Methods for Regularized Risk Minimization JMLR 2010

nrbm

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x <- data.matrix(iris[1:4])
P <- expand.grid(i=which(iris$Species=="virginica"),j=which(iris$Species!="virginica"))
w <- nrbm(preferenceLoss(x,P),LAMBDA=0.001,EPSILON_TOL=0.0001)