mlr_task_generators_spirals function

Spiral Classification Task Generator

A TaskGenerator for the spirals task in mlbench::mlbench.spirals().

Dictionary

This TaskGenerator can be instantiated via the dictionary mlr_task_generators or with the associated sugar function tgen():

mlr_task_generators$get("spirals")
tgen("spirals")

Parameters

Id	Type	Default	Range
cycles	integer	1	$[1, Inf)$
sd	numeric	0	$[0, Inf)$

Examples

generator = tgen("spirals")
plot(generator, n = 200)

task = generator$generate(200)
str(task$data())

See Also

• Dictionary of TaskGenerators : mlr_task_generators

• as.data.table(mlr_task_generators) for a table of available TaskGenerators in the running session (depending on the loaded packages).

• Extension packages for additional task types:

  • list("mlr3proba") for probabilistic supervised regression and survival analysis.
  • list("mlr3cluster") for unsupervised clustering.

Other TaskGenerator: TaskGenerator, mlr_task_generators, mlr_task_generators_2dnormals, mlr_task_generators_cassini, mlr_task_generators_circle, mlr_task_generators_friedman1, mlr_task_generators_moons, mlr_task_generators_simplex, mlr_task_generators_smiley, mlr_task_generators_xor

Super class

mlr3::TaskGenerator -> TaskGeneratorSpirals

Methods

Public methods

• list("TaskGeneratorSpirals$new()")

• list("TaskGeneratorSpirals$plot()")

• list("TaskGeneratorSpirals$clone()")

Method new()

Creates a new instance of this R6 class.

Usage

TaskGeneratorSpirals$new()

Method plot()

Creates a simple plot of generated data.

Usage

TaskGeneratorSpirals$plot(n = 200L, pch = 19L, ...)

Arguments

• n: (integer(1))

   Number of samples to draw for the plot. Default is 200.
  

• pch: (integer(1))

   Point char. Passed to `plot()`.
  

• ...: (any)

   Additional arguments passed to `plot()`.
  

Method clone()

The objects of this class are cloneable with this method.

Usage

TaskGeneratorSpirals$clone(deep = FALSE)

Arguments

• deep: Whether to make a deep clone.