mlr3proba (version 0.2.4)

mlr_measures_dens.logloss: 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

• Type: "density"

• Range: \([0, \infty)\)

• Minimize: TRUE

• Required prediction: pdf

Super classes

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

Active bindings

eps

Returns eps parameter, see initialize.

Methods

Public methods

• MeasureDensLogloss$new()

• MeasureDensLogloss$clone()

• mlr3::Measure$aggregate()

• mlr3::Measure$format()

• mlr3::Measure$help()

• mlr3::Measure$print()

• mlr3::Measure$score()

Method new()

Creates a new instance of this R6 class.

Usage

MeasureDensLogloss$new(eps = 1e-15)

Arguments

eps

(numeric(1)) Very small number to set zero-valued predicted probabilities to in order to prevent errors in log(0) calculation.

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.