Regression Task
This task specializes Task and TaskSupervised for regression problems.
The target column is assumed to be numeric.
The task_type is set to "regr".
Predefined tasks are stored in the dictionary mlr_tasks. More example tasks can be found in this dictionary after loading mlr3data.
mlr3::Task -> mlr3::TaskSupervised -> TaskRegr
new()
Creates a new instance of this R6 class.
The function as_task_regr() provides an alternative way to construct regression tasks.
TaskRegr$new(id, backend, target, extra_args = list())
id(character(1))
Identifier for the new instance.
backend(DataBackend)
Either a DataBackend, or any object which is convertible to a DataBackend with as_data_backend().
E.g., a data.frame() will be converted to a DataBackendDataTable.
target(character(1))
Name of the target column.
extra_args(named list())
Named list of constructor arguments, required for converting task types
via convert_task().
truth()
True response for specified row_ids. Format depends on the task type.
Defaults to all rows with role "use".
TaskRegr$truth(rows = NULL)
rowsinteger()
Row indices.
numeric().
clone()
The objects of this class are cloneable with this method.
TaskRegr$clone(deep = FALSE)
deepWhether to make a deep clone.
task = TaskRegr$new("penguins", backend = palmerpenguins::penguins, target = "bill_length_mm")
task$task_type
task$formula()
task$truth()
# possible properties:
mlr_reflections$task_properties$regrPlease choose more modern alternatives, such as Google Chrome or Mozilla Firefox.