TaskSupervised function

Supervised Task

This is the abstract base class for task objects like TaskClassif and TaskRegr . It extends Task with methods to handle a target columns. Supervised tasks for probabilistic regression (including survival analysis) can be found in list("mlr3proba").

Examples

TaskSupervised$new("penguins", task_type = "classif", backend = palmerpenguins::penguins,
  target = "species")

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, TaskRegr, 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 class

mlr3::Task -> TaskSupervised

Methods

Public methods

• list("TaskSupervised$new()")

• list("TaskSupervised$truth()")

• list("TaskSupervised$clone()")

Method new()

Creates a new instance of this R6 class.

Usage

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

Arguments

• id: (character(1))

   Identifier for the new instance.
  

• task_type: (character(1))

   Type of task, e.g. `"regr"` or `"classif"`. Must be an element of mlr_reflections$task_types$type .
  

• 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

TaskSupervised$truth(rows = NULL)

Arguments

• rows: (positive integer())

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

Method clone()

The objects of this class are cloneable with this method.

Usage

TaskSupervised$clone(deep = FALSE)

Arguments

• deep: Whether to make a deep clone.