A TaskGenerator for the simplex task in mlbench::mlbench.simplex().
Note that the generator implemented in mlbench returns fewer samples than requested.
This TaskGenerator can be instantiated via the dictionary mlr_task_generators or with the associated sugar function tgen():
mlr_task_generators$get("simplex")
tgen("simplex")
| Id | Type | Default | Levels | Range |
| center | logical | TRUE | TRUE, FALSE | - |
| d | integer | 3 | \([1, \infty)\) | |
| sd | numeric | 0.1 | \([0, \infty)\) | |
| sides | integer | 1 | \([1, \infty)\) |
mlr3::TaskGenerator -> TaskGeneratorSimplex
plot()Creates a simple plot of generated data.
TaskGeneratorSimplex$plot(n = 200L, pch = 19L, ...)n(integer(1))
Number of samples to draw for the plot. Default is 200.
pch(integer(1))
Point char. Passed to plot().
...(any)
Additional arguments passed to plot().
clone()The objects of this class are cloneable with this method.
TaskGeneratorSimplex$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_smiley,
mlr_task_generators_spirals,
mlr_task_generators_xor
generator = tgen("simplex")
plot(generator, n = 200)
task = generator$generate(200)
str(task$data())
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