mlr_measures_debug: Debug Measure

Description Dictionary Parameters Meta Information Super class Methods See Also Examples

Description

This measure returns the number of observations in the Prediction object. Its main purpose is debugging. The parameter na_ratio (numeric(1)) controls the ratio of scores which randomly are set to NA, between 0 (default) and 1.

Dictionary

This Measure can be instantiated via the dictionary mlr_measures or with the associated sugar function msr():

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mlr_measures$get("debug")
msr("debug")

Parameters

Id Type Default Range Levels
normalize logical TRUE (-Inf, Inf) TRUE, FALSE

Meta Information

Super class

mlr3::Measure -> MeasureDebug

Methods

Public methods

Inherited methods

Method new()

Creates a new instance of this R6 class.

Usage
MeasureDebug$new()

Method clone()

The objects of this class are cloneable with this method.

Usage
MeasureDebug$clone(deep = FALSE)
Arguments
deep

Whether to make a deep clone.

See Also

Other Measure: MeasureClassif, MeasureRegr, Measure, mlr_measures_aic, mlr_measures_bic, mlr_measures_classif.costs, mlr_measures_elapsed_time, mlr_measures_oob_error, mlr_measures_selected_features, mlr_measures

Examples

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task = tsk("wine")
learner = lrn("classif.featureless")
measure = msr("debug", na_ratio = 0.5)
rr = resample(task, learner, rsmp("cv", folds = 5))
rr$score(measure)

mlr3 documentation built on Aug. 6, 2021, 1:07 a.m.