TaskRegrForecast: Forecasting Regression Task

In mlr-org/mlr3forecasting: Forecasting for 'mlr3'

Forecasting Regression Task

Description

This task specializes Task and TaskSupervised for forecasting regression problems. The target column(s) are assumed to be numeric. The task_type is set to "regr" '.

Super classes

mlr3::Task -> mlr3::TaskSupervised -> mlr3temporal::TaskForecast -> TaskRegrForecast

Methods

Public methods

• TaskRegrForecast$new()

• TaskRegrForecast$clone()

Inherited methods

• mlr3::Task$add_strata()
• mlr3::Task$cbind()
• mlr3::Task$droplevels()
• mlr3::Task$filter()
• mlr3::Task$format()
• mlr3::Task$formula()
• 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_levels()
• mlr3::Task$set_row_roles()
• mlr3temporal::TaskForecast$data()
• mlr3temporal::TaskForecast$date()
• mlr3temporal::TaskForecast$truth()

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Method new()

Creates a new instance of this R6 class.

Usage

TaskRegrForecast$new(id, backend, target = "target", date_col = NULL)

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.

date_col

(character(1))
Name of the date column, only required if backend is a data.frame.

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Method clone()

The objects of this class are cloneable with this method.

Usage

TaskRegrForecast$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

See Also

• Chapter in the mlr3book: https://mlr3book.mlr-org.com/basics.html#tasks

• Package mlr3data for more toy tasks.

• Package mlr3oml for downloading tasks from https://www.openml.org.

• Package 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).

• mlr3fselect and mlr3filters for feature selection and feature filtering.

• Extension packages for additional task types:

  • Unsupervised clustering: mlr3cluster

  • Probabilistic supervised regression and survival analysis: https://mlr3proba.mlr-org.com/.

Other Task: TaskForecast, mlr_tasks_airpassengers, mlr_tasks_petrol

mlr-org/mlr3forecasting documentation built on June 29, 2023, 11:57 p.m.