Friedman1 Regression Task Generator
Source:R/TaskGeneratorFriedman1.R
mlr_task_generators_friedman1.RdA 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():
See also
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
Inherited methods
TaskGeneratorFriedman1$new()
Creates a new instance of this R6 class.
Usage
TaskGeneratorFriedman1$new()Examples
generator = tgen("friedman1")
task = generator$generate(200)
str(task$data())
#> Classes ‘data.table’ and 'data.frame': 200 obs. of 11 variables:
#> $ y : num 9.27 20.83 18.4 11.69 11.16 ...
#> $ important1 : num 0.16 0.985 0.975 0.283 0.759 ...
#> $ important2 : num 0.4925 0.626 0.3333 0.0744 0.3592 ...
#> $ important3 : num 0.781 0.953 0.283 0.578 0.479 ...
#> $ important4 : num 0.0694 0.4687 0.6799 0.7998 0.1656 ...
#> $ important5 : num 0.8134 0.6392 0.5229 0.6678 0.0114 ...
#> $ unimportant1: num 0.717 0.731 0.488 0.227 0.716 ...
#> $ unimportant2: num 0.763 0.781 0.7 0.215 0.532 ...
#> $ unimportant3: num 0.0907 0.7095 0.6861 0.7796 0.9294 ...
#> $ unimportant4: num 0.488 0.892 0.73 0.718 0.442 ...
#> $ unimportant5: num 0.4032 0.6818 0.3526 0.3242 0.0449 ...
#> - attr(*, ".internal.selfref")=<pointer: 0x556fb9879ea0>