This task specializes Task and TaskSupervised for regression problems. The target column is assumed to be numeric. The task_type is set to "classif".

Predefined tasks are stored in the mlr3misc::Dictionary mlr_tasks.

Format

R6::R6Class object inheriting from Task/TaskSupervised.

Construction

t = TaskRegr$new(id, backend, target)

Fields

See TaskSupervised.

Methods

See TaskSupervised.

See also

Example regression tasks: boston_housing

Other Task: TaskClassif, TaskSupervised, Task, mlr_tasks

Examples

task = TaskRegr$new("iris", backend = iris, target = "Sepal.Length") task$task_type
#> [1] "regr"
task$formula()
#> Sepal.Length ~ . #> NULL
task$truth()
#> [1] 5.1 4.9 4.7 4.6 5.0 5.4 4.6 5.0 4.4 4.9 5.4 4.8 4.8 4.3 5.8 5.7 5.4 5.1 #> [19] 5.7 5.1 5.4 5.1 4.6 5.1 4.8 5.0 5.0 5.2 5.2 4.7 4.8 5.4 5.2 5.5 4.9 5.0 #> [37] 5.5 4.9 4.4 5.1 5.0 4.5 4.4 5.0 5.1 4.8 5.1 4.6 5.3 5.0 7.0 6.4 6.9 5.5 #> [55] 6.5 5.7 6.3 4.9 6.6 5.2 5.0 5.9 6.0 6.1 5.6 6.7 5.6 5.8 6.2 5.6 5.9 6.1 #> [73] 6.3 6.1 6.4 6.6 6.8 6.7 6.0 5.7 5.5 5.5 5.8 6.0 5.4 6.0 6.7 6.3 5.6 5.5 #> [91] 5.5 6.1 5.8 5.0 5.6 5.7 5.7 6.2 5.1 5.7 6.3 5.8 7.1 6.3 6.5 7.6 4.9 7.3 #> [109] 6.7 7.2 6.5 6.4 6.8 5.7 5.8 6.4 6.5 7.7 7.7 6.0 6.9 5.6 7.7 6.3 6.7 7.2 #> [127] 6.2 6.1 6.4 7.2 7.4 7.9 6.4 6.3 6.1 7.7 6.3 6.4 6.0 6.9 6.7 6.9 5.8 6.8 #> [145] 6.7 6.7 6.3 6.5 6.2 5.9
# possible properties: mlr_reflections$task_properties$regr
#> [1] "strata" "groups" "weights"