| mlr_measures_dens.logloss {mlr3proba} | R Documentation |
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))
Type: "density"
Range: [0, Inf)
Minimize: TRUE
Required prediction: pdf
mlr3::Measure -> mlr3proba::MeasureDens -> MeasureDensLogloss
epsReturns eps parameter, see initialize.
new()Creates a new instance of this R6 class.
MeasureDensLogloss$new(eps = 0.000000000000001)
eps(numeric(1))
Very small number to set zero-valued predicted probabilities to in order to prevent errors
in log(0) and 1/0 calculation.
clone()The objects of this class are cloneable with this method.
MeasureDensLogloss$clone(deep = FALSE)
deepWhether to make a deep clone.