mlr_task_generators_2dnormals function

2D Normals Classification Task Generator

2D Normals Classification Task Generator

A TaskGenerator for the 2d normals task in mlbench::mlbench.2dnormals().

Dictionary

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

mlr_task_generators$get("2dnormals")
tgen("2dnormals")

Parameters

IdTypeDefaultRange
clinteger-[2,Inf)[2, Inf)
rnumeric-[1,Inf)[1, Inf)
sdnumeric-[0,Inf)[0, Inf)

Examples

generator = tgen("2dnormals") 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:

Other TaskGenerator: TaskGenerator, mlr_task_generators, 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_spirals, mlr_task_generators_xor

Super class

mlr3::TaskGenerator -> TaskGenerator2DNormals

Methods

Public methods

Method new()

Creates a new instance of this R6 class.

Usage

TaskGenerator2DNormals$new()

Method plot()

Creates a simple plot of generated data.

Usage

TaskGenerator2DNormals$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

TaskGenerator2DNormals$clone(deep = FALSE)

Arguments

  • deep: Whether to make a deep clone.