TaskRegr function

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".

It is recommended to use as_task_regr() for construction. Predefined tasks are stored in the dictionary mlr_tasks .

Examples

task = as_task_regr(palmerpenguins::penguins, target = "bill_length_mm")
task$task_type
task$formula()
task$truth()
task$data(rows = 1:3, cols = task$feature_names[1:2])

See Also

• Chapter in the mlr3book: https://mlr3book.mlr-org.com/chapters/chapter2/data_and_basic_modeling.html

• Package list("mlr3data") for more toy tasks.

• Package list("mlr3oml") for downloading tasks from https://www.openml.org.

• Package list("mlr3viz") for some generic visualizations.

• Dictionary of Tasks : mlr_tasks

• as.data.table(mlr_tasks) for a table of available Tasks in the running session (depending on the loaded packages).

• list("mlr3fselect") and list("mlr3filters") for feature selection and feature filtering.

• Extension packages for additional task types:

  • Unsupervised clustering: list("mlr3cluster")
  • Probabilistic supervised regression and survival analysis: https://mlr3proba.mlr-org.com/.

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

Super classes

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

Methods

Public methods

• list("TaskRegr$new()")

• list("TaskRegr$truth()")

• list("TaskRegr$clone()")

Method new()

Creates a new instance of this R6 class. The function as_task_regr() provides an alternative way to construct regression tasks.

Usage

TaskRegr$new(id, backend, target, label = NA_character_, extra_args = list())

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.
  

• label: (character(1))

   Label for the new instance.
  

• extra_args: (named list())

   Named list of constructor arguments, required for converting task types via `convert_task()`.
  

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: (positive integer())

   Vector or row indices. Always refers to the complete data set, even after filtering.
  

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.