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():
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_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
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 0.556 24.009 4.556 22.178 2.88 ...
#> $ x1: num 0.2134 -0.06337 -1.09616 -0.00355 -1.18498 ...
#> $ x2: num 0.77828 -0.03768 0.54845 -0.06676 0.00702 ...
#> $ x3: num 2.183 -0.138 0.15 0.401 1.113 ...
#> $ x4: num 0.90203 0.20605 -0.90877 -0.00189 -1.28019 ...
#> $ x5: num 1.175 -0.118 1.027 0.272 0.197 ...
#> - attr(*, ".internal.selfref")=<pointer: 0x556fb9879ea0>