R/TaskGenerator2DNormals.R
mlr_task_generators_2dnormals.Rd
A TaskGenerator for the 2d normals task in mlbench::mlbench.2dnormals()
.
This TaskGenerator can be instantiated via the dictionary mlr_task_generators or with the associated sugar function tgen()
:
mlr_task_generators$get("2dnormals") tgen("2dnormals")
Dictionary of TaskGenerators: mlr_task_generators
as.data.table(mlr_resamplings)
for a complete table of all (also dynamically created) TaskGenerator implementations.
Other TaskGenerator:
TaskGenerator
,
mlr_task_generators_cassini
,
mlr_task_generators_circle
,
mlr_task_generators_friedman1
,
mlr_task_generators_moons
,
mlr_task_generators_simplex
,
mlr_task_generators_smiley
,
mlr_task_generators_spirals
,
mlr_task_generators_xor
,
mlr_task_generators
mlr3::TaskGenerator
-> TaskGenerator2DNormals
new()
Creates a new instance of this R6 class.
TaskGenerator2DNormals$new()
plot()
Creates a simple plot of generated data.
TaskGenerator2DNormals$plot(n = 200L, pch = 19L, ...)
n
(integer(1)
)
Number of samples to draw for the plot. Default is 200.
pch
(integer(1)
)
Point char. Passed to plot()
.
...
(any)
Additional arguments passed to plot()
.
clone()
The objects of this class are cloneable with this method.
TaskGenerator2DNormals$clone(deep = FALSE)
deep
Whether to make a deep clone.
#> Classes ‘data.table’ and 'data.frame': 200 obs. of 3 variables: #> $ y : Factor w/ 2 levels "A","B": 2 1 1 2 2 1 1 2 1 2 ... #> $ x1: num -3.25 0.511 -0.119 -0.569 -1.829 ... #> $ x2: num -2.548 0.118 0.395 0.378 -1.599 ... #> - attr(*, ".internal.selfref")=<externalptr>