listMeasures: Find matching measures.

In riebetob/mlr: Machine Learning in R

Description

Returns the matching measures which have specific characteristics, e.g. whether they supports classification or regression.

Usage

listMeasures(obj, properties = character(0L), create = FALSE)

## Default S3 method:
listMeasures(obj, properties = character(0L),
  create = FALSE)

## S3 method for class 'character'
listMeasures(obj, properties = character(0L),
  create = FALSE)

## S3 method for class 'Task'
listMeasures(obj, properties = character(0L), create = FALSE)

Arguments

obj	[character(1) | Task] Either a task or the type of the task, in the latter case one of: “classif”, “regr”, “surv”, “costsens”, “cluster”, “multilabel”. Default is NA, matching all types.
properties	[character] Set of required properties to filter for. See Measure for some standardized properties. Default is character(0).
create	[logical(1)] Instantiate objects (or return strings)? Default is FALSE.

Value

[character | list of Measure]. Class names of matching measures or instantiated objects.

riebetob/mlr documentation built on May 20, 2019, 5:58 p.m.