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")

See also

Dictionary of TaskGenerators: mlr_task_generators

as.data.table(mlr_resamplings) for a complete table of all (also dynamically created) TaskGenerator implementations.

Other TaskGenerator: TaskGenerator, 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, mlr_task_generators

Super class

mlr3::TaskGenerator -> TaskGenerator2DNormals

Methods

Public methods

• TaskGenerator2DNormals$new()

• TaskGenerator2DNormals$plot()

• TaskGenerator2DNormals$clone()

Inherited methods

• mlr3::TaskGenerator$format()

• mlr3::TaskGenerator$generate()

• mlr3::TaskGenerator$print()

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Method new()

Creates a new instance of this R6 class.

Usage

TaskGenerator2DNormals$new()

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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().

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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.

Examples

generator = tgen("2dnormals")
plot(generator, n = 200)

task = generator$generate(200)
str(task$data())
#> Classes ‘data.table’ and 'data.frame':	200 obs. of  3 variables:
#>  $ y : Factor w/ 2 levels "A","B": 1 1 1 1 1 2 2 1 2 1 ...
#>  $ x1: num  0.208 1.77 2.795 0.94 1.52 ...
#>  $ x2: num  1.592 1.41 1.689 0.144 1.269 ...
#>  - attr(*, ".internal.selfref")=<externalptr>