mlr_measures_dens.logloss: Log loss Density Measure

In mlr3proba: Probabilistic Supervised Learning for 'mlr3'

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, Inf)

• Minimize: TRUE

• Required prediction: pdf

Super classes

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

Methods

Public methods

• MeasureDensLogloss$new()

• MeasureDensLogloss$clone()

Inherited methods

• mlr3::Measure$aggregate()

• mlr3::Measure$format()

• mlr3::Measure$help()

• mlr3::Measure$print()

• mlr3::Measure$score()

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Method new()

Creates a new instance of this R6 class.

Usage

MeasureDensLogloss$new()

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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.

mlr3proba documentation built on April 25, 2022, 5:07 p.m.