mlr_task_generators_moons | R Documentation |
A TaskGenerator creating two interleaving half circles ("moons") as binary classification problem.
This TaskGenerator can be instantiated via the dictionary mlr_task_generators or with the associated sugar function tgen()
:
mlr_task_generators$get("moons") tgen("moons")
Id | Type | Default | Range |
sigma | numeric | - | [0, \infty) |
mlr3::TaskGenerator
-> TaskGeneratorMoons
new()
Creates a new instance of this R6 class.
TaskGeneratorMoons$new()
plot()
Creates a simple plot of generated data.
TaskGeneratorMoons$plot(n = 200L, pch = 19L, ...)
n
(integer(1)
)
Number of samples to draw for the plot. Default is 200.
pch
(integer(1)
)
Point char. Passed to plot()
.
...
(any)
Additional arguments passed to plot()
.
clone()
The objects of this class are cloneable with this method.
TaskGeneratorMoons$clone(deep = FALSE)
deep
Whether to make a deep clone.
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:
mlr3proba for probabilistic supervised regression and survival analysis.
mlr3cluster for unsupervised clustering.
Other TaskGenerator:
TaskGenerator
,
mlr_task_generators
,
mlr_task_generators_2dnormals
,
mlr_task_generators_cassini
,
mlr_task_generators_circle
,
mlr_task_generators_friedman1
,
mlr_task_generators_simplex
,
mlr_task_generators_smiley
,
mlr_task_generators_spirals
,
mlr_task_generators_xor
generator = tgen("moons")
plot(generator, n = 200)
task = generator$generate(200)
str(task$data())
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