| mlr_task_generators_xor | R Documentation |
A TaskGenerator for the xor task in mlbench::mlbench.xor().
This TaskGenerator can be instantiated via the dictionary mlr_task_generators or with the associated sugar function tgen():
mlr_task_generators$get("xor")
tgen("xor")
| Id | Type | Default | Range |
| d | integer | 1 | [1, \infty) |
TaskGenerator -> TaskGeneratorXor
TaskGeneratorXor$new()Creates a new instance of this R6 class.
TaskGeneratorXor$new()
TaskGeneratorXor$plot()Creates a simple plot of generated data.
TaskGeneratorXor$plot(n = 200L, pch = 19L, ...)
n(integer(1))
Number of samples to draw for the plot. Default is 200.
pch(integer(1))
Point char. Passed to plot().
...(any)
Additional arguments passed to plot().
TaskGeneratorXor$clone()The objects of this class are cloneable with this method.
TaskGeneratorXor$clone(deep = FALSE)
deepWhether to make a deep clone.
Dictionary of TaskGenerators: mlr_task_generators
as.data.table(mlr_task_generators) for a table of available TaskGenerators in the running session (depending on the loaded packages).
Extension packages for additional task types:
mlr3proba for probabilistic supervised regression and survival analysis.
mlr3cluster for unsupervised clustering.
Other TaskGenerator:
TaskGenerator,
mlr_task_generators,
mlr_task_generators_2dnormals,
mlr_task_generators_cassini,
mlr_task_generators_circle,
mlr_task_generators_friedman1,
mlr_task_generators_moons,
mlr_task_generators_peak,
mlr_task_generators_simplex,
mlr_task_generators_smiley,
mlr_task_generators_spirals
generator = tgen("xor")
plot(generator, n = 200)
task = generator$generate(200)
str(task$data())
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