This measure returns the number of observations in the Prediction object.
Its main purpose is debugging.
numeric(1)) controls the ratio of scores which randomly
are set to
NA, between 0 (default) and 1.
This Measure can be instantiated via the dictionary mlr_measures or with the associated sugar function
|normalize||logical||TRUE||(-Inf, Inf)||TRUE, FALSE|
Range: [0, Inf)
Required prediction: 'response'
Creates a new instance of this R6 class.
The objects of this class are cloneable with this method.
MeasureDebug$clone(deep = FALSE)
Whether to make a deep clone.
Package mlr3measures for the scoring functions.
Dictionary of Measures: mlr_measures
as.data.table(mlr_measures) for a table of available Measures in the running session (depending on the loaded packages).
Extension packages for additional task types:
1 2 3 4 5
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