mlr3 (version 0.3.0)

TaskRegr: Regression Task

Description

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.

Arguments

Super classes

mlr3::Task -> mlr3::TaskSupervised -> TaskRegr

Methods

Public methods

Method new()

Creates a new instance of this R6 class.

Usage

TaskRegr$new(id, backend, target)

Arguments

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.

Method truth()

True response for specified row_ids. Format depends on the task type. Defaults to all rows with role "use".

Usage

TaskRegr$truth(rows = NULL)

Arguments

rows

integer() Row indices.

Returns

numeric().

Method clone()

The objects of this class are cloneable with this method.

Usage

TaskRegr$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

See Also

Other Task: TaskClassif, TaskSupervised, TaskUnsupervised, Task, mlr_tasks_boston_housing, mlr_tasks_german_credit, mlr_tasks_iris, mlr_tasks_mtcars, mlr_tasks_pima, mlr_tasks_sonar, mlr_tasks_spam, mlr_tasks_wine, mlr_tasks_zoo, mlr_tasks

Examples

Run this code
# NOT RUN {
task = TaskRegr$new("iris", backend = iris, target = "Sepal.Length")
task$task_type
task$formula()
task$truth()

# possible properties:
mlr_reflections$task_properties$regr
# }

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