mlr_measures: Dictionary of Performance Measures

Description Format Methods S3 methods See Also Examples

Description

A simple mlr3misc::Dictionary storing objects of class Measure. Each measure has an associated help page, see mlr_measures_[id].

This dictionary can get populated with additional measures by add-on packages. E.g., mlr3proba adds survival measures and mlr3cluster adds cluster analysis measures.

For a more convenient way to retrieve and construct measures, see msr()/msrs().

Format

R6::R6Class object inheriting from mlr3misc::Dictionary.

Methods

See mlr3misc::Dictionary.

S3 methods

See Also

Sugar functions: msr(), msrs()

Implementation of most measures: mlr3measures

Other Dictionary: mlr_learners, mlr_resamplings, mlr_task_generators, mlr_tasks

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

Examples

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as.data.table(mlr_measures)
mlr_measures$get("classif.ce")
msr("regr.mse")

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