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
mlr3::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 4.89 5.75 6.96 24.04 4.72 ...
#> $ x1: num -1.3536 0.2737 0.2287 -0.0232 -1.3182 ...
#> $ x2: num -0.8278 1.1552 -0.4408 0.0973 1.2019 ...
#> $ x3: num 0.336 -0.717 -0.949 -0.235 0.311 ...
#> $ x4: num 0.39346 0.7602 1.10251 0.00276 0.09836 ...
#> $ x5: num -0.693 0.662 0.441 -0.115 0.214 ...
#> - attr(*, ".internal.selfref")=<externalptr>