Peak Regression Task Generator

A TaskGenerator for the peak task in mlbench::mlbench.peak().

Dictionary

This TaskGenerator can be instantiated via the dictionary mlr_task_generators or with the associated sugar function tgen():

mlr_task_generators$get("peak")
tgen("peak")

Parameters

Id	Type	Default	Range
d	integer	20	\([1, \infty)\)

See also

• 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_simplex, mlr_task_generators_smiley, mlr_task_generators_spirals, mlr_task_generators_xor

Super class

TaskGenerator -> TaskGeneratorPeak

Methods

Public methods

• TaskGeneratorPeak$new()

• TaskGeneratorPeak$clone()

Inherited methods

• TaskGenerator$format()
• TaskGenerator$generate()
• TaskGenerator$print()

---

TaskGeneratorPeak$new()

Creates a new instance of this R6 class.

Usage

TaskGeneratorPeak$new()

---

TaskGeneratorPeak$clone()

The objects of this class are cloneable with this method.

Usage

TaskGeneratorPeak$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

generator = tgen("peak", d = 5)
task = generator$generate(200)
str(task$data())
#> Classes ‘data.table’ and 'data.frame':	200 obs. of  6 variables:
#>  $ y : num  5.85 1.07 4.47 6.05 12.28 ...
#>  $ x1: num  -0.678 0.297 -1.277 -0.802 0.534 ...
#>  $ x2: num  0.78 -0.197 -0.771 0.657 -0.588 ...
#>  $ x3: num  -0.798 -0.156 -0.697 0.69 0.118 ...
#>  $ x4: num  -0.982 -0.412 0.77 -0.833 0.844 ...
#>  $ x5: num  -0.485 -2.445 -0.374 0.77 0.253 ...
#>  - attr(*, ".internal.selfref")=<pointer: 0x55955f5f4ee0>