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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-\([2, \infty)\)
rnumeric-\([1, \infty)\)
sdnumeric-\([0, \infty)\)

See also

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

Inherited methods


Method new()

Creates a new instance of this R6 class.


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.

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 2 1 1 2 1 1 ...
#>  $ x1: num  2.022 0.86 1.229 1.208 0.894 ...
#>  $ x2: num  0.2104 -0.0577 0.6183 -0.2691 -1.1868 ...
#>  - attr(*, ".internal.selfref")=<externalptr>