Learn R Programming

mlr3cluster (version 0.1.9)

TaskClust: Cluster Task

Description

This task specializes mlr3::Task for cluster problems. As an unsupervised task, this task has no target column. The task_type is set to "clust".

Predefined tasks are stored in the dictionary mlr_tasks.

Arguments

Super classes

mlr3::Task -> mlr3::TaskUnsupervised -> TaskClust

Methods

Inherited methods


Method new()

Creates a new instance of this R6 class.

Usage

TaskClust$new(id, backend, label = NA_character_)

Arguments

id

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

backend

(DataBackend)
Either a DataBackend, or any object which is convertible to a DataBackend with as_data_backend(). E.g., a data.frame() will be converted to a DataBackendDataTable.

label

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


Method clone()

The objects of this class are cloneable with this method.

Usage

TaskClust$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

Run this code
library(mlr3)
library(mlr3cluster)
task = TaskClust$new("usarrests", backend = USArrests)
task$task_type

# possible properties:
mlr_reflections$task_properties$clust

Run the code above in your browser using DataLab