mlr_measures_dens.logloss {mlr3proba}R Documentation

Log loss Density Measure

Description

Calculates the cross-entropy, or logarithmic (log), loss.

The logloss, in the context of probabilistic predictions, is defined as the negative log probability density function, f, evaluated at the observed value, y,

L(f, y) = -log(f(y))

Meta Information

Super classes

mlr3::Measure -> mlr3proba::MeasureDens -> MeasureDensLogloss

Methods

Public methods

Inherited methods

Method new()

Creates a new instance of this R6 class.

Usage
MeasureDensLogloss$new()

Method clone()

The objects of this class are cloneable with this method.

Usage
MeasureDensLogloss$clone(deep = FALSE)
Arguments
deep

Whether to make a deep clone.


[Package mlr3proba version 0.4.4 Index]