A TaskGenerator for the circle binary classification task in mlbench::mlbench.circle()
.
Creates a large circle containing a smaller circle.
This TaskGenerator can be instantiated via the dictionary mlr_task_generators or with the associated sugar function tgen()
:
mlr_task_generators$get("circle") tgen("circle")
Dictionary of TaskGenerators: mlr_task_generators
as.data.table(mlr_resamplings)
for a complete table of all (also dynamically created) TaskGenerator implementations.
Other TaskGenerator:
TaskGenerator
,
mlr_task_generators_2dnormals
,
mlr_task_generators_cassini
,
mlr_task_generators_friedman1
,
mlr_task_generators_moons
,
mlr_task_generators_simplex
,
mlr_task_generators_smiley
,
mlr_task_generators_spirals
,
mlr_task_generators_xor
,
mlr_task_generators
mlr3::TaskGenerator
-> TaskGeneratorCircle
new()
Creates a new instance of this R6 class.
TaskGeneratorCircle$new()
plot()
Creates a simple plot of generated data.
TaskGeneratorCircle$plot(n = 200L, pch = 19L, ...)
n
(integer(1)
)
Number of samples to draw for the plot. Default is 200.
pch
(integer(1)
)
Point char. Passed to plot()
.
...
(any)
Additional arguments passed to plot()
.
clone()
The objects of this class are cloneable with this method.
TaskGeneratorCircle$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": 1 1 2 1 1 1 1 2 1 1 ... #> $ x1: num -0.0678 0.6608 -0.7914 -0.4233 -0.1784 ... #> $ x2: num -0.00753 -0.35811 0.60134 0.58565 -0.56071 ... #> - attr(*, ".internal.selfref")=<externalptr>