TaskMultioutput: Multioutput Task

In mlr-org/mlr3multioutput: Multioutput extension for 'mlr3'

Description

This task specializes mlr3::Task for multi-output problems. The task_type is set to "multioutput".

Predefined tasks are stored in the dictionary mlr_tasks. Properties for this mlr3::Task are 'multilabel' if the mlr3::Task has only binary classification targets and 'multioutput' else.

Super classes

mlr3::Task -> mlr3::TaskSupervised -> TaskMultioutput

Public fields

task_types

(character())
See initialize.

Methods

Public methods

• TaskMultioutput$new()

• TaskMultioutput$formula()

• TaskMultioutput$clone()

Inherited methods

• mlr3::Task$cbind()

• mlr3::Task$data()

• mlr3::Task$droplevels()

• mlr3::Task$filter()

• mlr3::Task$format()

• mlr3::Task$head()

• mlr3::Task$help()

• mlr3::Task$levels()

• mlr3::Task$missings()

• mlr3::Task$print()

• mlr3::Task$rbind()

• mlr3::Task$rename()

• mlr3::Task$select()

• mlr3::Task$set_col_roles()

• mlr3::Task$set_row_roles()

• mlr3::TaskSupervised$truth()

---

Method new()

Creates a new instance of this R6 class.

Usage

TaskMultioutput$new(
  id,
  backend,
  target,
  task_types = NULL,
  task_type = "multioutput"
)

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)
Name of the target columns.

task_types

character
Named character vector of per-target task-types. E.g. c(tgt1 = "regr", tgt2 = "classif")

task_type

(character(1))
Task type of the constructed task. Defautls to "multioutput".

---

Method formula()

Usage

TaskMultioutput$formula(rhs = ".")

---

Method clone()

The objects of this class are cloneable with this method.

Usage

TaskMultioutput$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

mlr-org/mlr3multioutput documentation built on Nov. 22, 2020, 1:17 p.m.