Friedman1 Regression Task Generator

A TaskGenerator for the friedman1 task in mlbench::mlbench.friedman1().

Dictionary

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

mlr_task_generators$get("friedman1")
tgen("friedman1")

Parameters

Id	Type	Default	Range
sd	numeric	1	\([0, \infty)\)

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_moons, mlr_task_generators_simplex, mlr_task_generators_smiley, mlr_task_generators_spirals, mlr_task_generators_xor

Super class

mlr3::TaskGenerator -> TaskGeneratorFriedman1

Methods

Public methods

• TaskGeneratorFriedman1$new()

• TaskGeneratorFriedman1$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

TaskGeneratorFriedman1$new()

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Method clone()

The objects of this class are cloneable with this method.

Usage

TaskGeneratorFriedman1$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

generator = tgen("friedman1")
task = generator$generate(200)
str(task$data())
#> Classes ‘data.table’ and 'data.frame':	200 obs. of  11 variables:
#>  $ y           : num  16.31 24.87 19.79 7.93 17.69 ...
#>  $ important1  : num  0.765 0.99 0.944 0.611 0.706 ...
#>  $ important2  : num  0.15013 0.31232 0.7915 0.00186 0.08468 ...
#>  $ important3  : num  0.0382 0.989 0.9477 0.2842 0.8083 ...
#>  $ important4  : num  0.686 0.858 0.69 0.77 0.982 ...
#>  $ important5  : num  0.1481 0.6111 0.3696 0.0946 0.9453 ...
#>  $ unimportant1: num  0.465 0.608 0.61 0.757 0.694 ...
#>  $ unimportant2: num  0.712 0.041 0.375 0.34 0.883 ...
#>  $ unimportant3: num  0.0165 0.3787 0.8595 0.6584 0.1895 ...
#>  $ unimportant4: num  0.392 0.647 0.081 0.373 0.786 ...
#>  $ unimportant5: num  0.0198 0.5281 0.9636 0.5646 0.7617 ...
#>  - attr(*, ".internal.selfref")=<externalptr>