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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

Methods

Inherited methods


Method new()

Creates a new instance of this R6 class.

Usage


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.