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_peak, mlr_task_generators_simplex, mlr_task_generators_smiley, mlr_task_generators_spirals, mlr_task_generators_xor

Super class

TaskGenerator -> TaskGeneratorFriedman1

Methods

Public methods

• TaskGeneratorFriedman1$new()

• TaskGeneratorFriedman1$clone()

Inherited methods

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

---

TaskGeneratorFriedman1$new()

Creates a new instance of this R6 class.

Usage

TaskGeneratorFriedman1$new()

---

TaskGeneratorFriedman1$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  14.8 10.6 12.3 10.7 14.3 ...
#>  $ important1  : num  0.381 0.781 0.857 0.557 0.479 ...
#>  $ important2  : num  0.384 0.315 0.222 0.341 0.19 ...
#>  $ important3  : num  0.214 0.626 0.407 0.332 0.6 ...
#>  $ important4  : num  0.872 0.191 0.301 0.139 0.803 ...
#>  $ important5  : num  0.0183 0.3933 0.6797 0.3991 0.8944 ...
#>  $ unimportant1: num  0.632 0.4958 0.8567 0.5099 0.0483 ...
#>  $ unimportant2: num  0.951 0.704 0.338 0.136 0.918 ...
#>  $ unimportant3: num  0.97 0.283 0.157 0.812 0.848 ...
#>  $ unimportant4: num  0.472 0.166 0.945 0.447 0.309 ...
#>  $ unimportant5: num  0.5638 0.2516 0.0248 0.608 0.2025 ...
#>  - attr(*, ".internal.selfref")=<pointer: 0x563eb7a81ee0>