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

mlr3::TaskGenerator -> TaskGeneratorPeak

Methods

Public methods

• TaskGeneratorPeak$new()

• TaskGeneratorPeak$clone()

Inherited methods

• mlr3::TaskGenerator$format()
• mlr3::TaskGenerator$generate()
• mlr3::TaskGenerator$print()

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Method new()

Creates a new instance of this R6 class.

Usage

TaskGeneratorPeak$new()

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Method 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  0.855 1.604 0.749 5.738 19.723 ...
#>  $ x1: num  1.83 1.818 -0.887 0.312 -0.256 ...
#>  $ x2: num  -0.595 0.749 -0.148 0.125 -0.462 ...
#>  $ x3: num  0.3501 0.0285 2.3538 1.2274 -0.0938 ...
#>  $ x4: num  -1.6898 -1.2656 -0.1271 1.1405 0.0585 ...
#>  $ x5: num  0.266 -0.16 -0.806 0.152 0.428 ...
#>  - attr(*, ".internal.selfref")=<externalptr>