LocRank: Localized ranking familty
In gfboost: Gradient-Free Gradient Boosting

Description Usage Arguments Details Value References Examples

Gradient-free Gradient Boosting family for the localized ranking loss function including its fast computation.

1	LocRank(K)

`K`	Indicates that we are interesting in the top K instances and their correct ordering. Must be an integer between 1 and the number n of observations.

The localized ranking loss combines the hard and the weak ranking loss, i.e., it penalizes misrankings at the top of the list (the best K instances according to the response value) and ”misclassification” in the sense that instances belonging to the top of the list are ranked lower and vice versa. The localized ranking loss already returns a normalized loss that can take values between 0 and 1. LocRank returns a family object as in the package mboost.

A Boosting family object

Werner, T., Gradient-Free Gradient Boosting, PhD Thesis, Carl von Ossietzky University Oldenburg, 2020, Equation (5.2.5)

T. Hothorn, P. Bühlmann, T. Kneib, M. Schmid, and B. Hofner. mboost: Model-Based Boosting, 2017

{y<-c(-3, 10.3,-8, 12, 14,-0.5, 29,-1.1,-5.7, 119)
 yhat<-c(0.02, 0.6, 0.1, 0.47, 0.82, 0.04, 0.77, 0.09, 0.01, 0.79)
 LocRank(4)@risk(y,yhat)}
{y<-c(-3, 10.3,-8, 12, 14,-0.5, 29,-1.1,-5.7, 119)
 yhat<-c(0.02, 0.6, 0.1, 0.47, 0.82, 0.04, 0.77, 0.09, 0.01, 0.79)
 LocRank(5)@risk(y,yhat)}