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Measures the elapsed time during train ("time_train"), predict ("time_predict"), or both ("time_both").

Dictionary

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

mlr_measures$get("time_train")
msr("time_train")

Meta Information

  • Task type: “NA”

  • Range: \([0, \infty)\)

  • Minimize: TRUE

  • Average: macro

  • Required Prediction: “NA”

  • Required Packages: mlr3

Parameters

Empty ParamSet

See also

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

Super class

mlr3::Measure -> MeasureElapsedTime

Public fields

stages

(character())
Which stages of the learner to measure? Usually set during construction.

Methods

Inherited methods


Method new()

Creates a new instance of this R6 class.

Usage

MeasureElapsedTime$new(id = "elapsed_time", stages)

Arguments

id

(character(1))
Identifier for the new instance.

stages

(character())
Subset of ("train", "predict"). The runtime of provided stages will be summed.


Method clone()

The objects of this class are cloneable with this method.

Usage

MeasureElapsedTime$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.