mlr3: mlr_measures – R documentation

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

mlr_measures

Dictionary of Performance Measures

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

as.data.table(dict)
mlr3misc::Dictionary -> data.table::data.table()
Returns a data.table::data.table() with fields "key", "task_type", "predict_type", and "packages" as columns.

Examples

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

mlr3

Machine Learning in R - Next Generation

v0.11.0

LGPL-3

Authors

Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>), Jakob Richter [aut] (<https://orcid.org/0000-0003-4481-5554>), Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>), Giuseppe Casalicchio [ctb] (<https://orcid.org/0000-0001-5324-5966>), Stefan Coors [ctb] (<https://orcid.org/0000-0002-7465-2146>), Quay Au [ctb] (<https://orcid.org/0000-0002-5252-8902>), Martin Binder [aut], Marc Becker [ctb] (<https://orcid.org/0000-0002-8115-0400>)

Initial release