Cassini Classification Task Generator
A TaskGenerator for the cassini task in mlbench::mlbench.cassini()
.
This TaskGenerator can be instantiated via the dictionary mlr_task_generators or with the associated sugar function tgen()
:
mlr_task_generators$get("cassini")
tgen("cassini")
Id | Type | Default | Range |
relsize1 | integer | 2 | |
relsize2 | integer | 2 | |
relsize3 | integer | 1 |
generator = tgen("cassini") plot(generator, n = 200) task = generator$generate(200) str(task$data())
Dictionary of TaskGenerators : mlr_task_generators
as.data.table(mlr_task_generators)
for a table of available TaskGenerators in the running session (depending on the loaded packages).
Extension packages for additional task types:
Other TaskGenerator: TaskGenerator
, mlr_task_generators
, mlr_task_generators_2dnormals
, mlr_task_generators_circle
, mlr_task_generators_friedman1
, mlr_task_generators_moons
, mlr_task_generators_simplex
, mlr_task_generators_smiley
, mlr_task_generators_spirals
, mlr_task_generators_xor
mlr3::TaskGenerator
-> TaskGeneratorCassini
new()
Creates a new instance of this R6 class.
TaskGeneratorCassini$new()
plot()
Creates a simple plot of generated data.
TaskGeneratorCassini$plot(n = 200L, pch = 19L, ...)
n
: (integer(1)
)
Number of samples to draw for the plot. Default is 200.
pch
: (integer(1)
)
Point char. Passed to `plot()`.
...
: (any)
Additional arguments passed to `plot()`.
clone()
The objects of this class are cloneable with this method.
TaskGeneratorCassini$clone(deep = FALSE)
deep
: Whether to make a deep clone.
Useful links