Unsupervised Task

This is the abstract base class for unsupervised tasks such as cluster tasks in mlr3cluster.

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://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:

  • mlr3proba for probabilistic supervised regression and survival analysis.

  • mlr3cluster for unsupervised clustering.

Other Task: TaskClassif, TaskRegr, TaskSupervised, Task, mlr_tasks_boston_housing, 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, mlr_tasks

Super class

mlr3::Task -> TaskUnsupervised

Methods

Public methods

• TaskUnsupervised$clone()

Inherited methods

• mlr3::Task$add_strata()

• mlr3::Task$cbind()

• mlr3::Task$data()

• mlr3::Task$droplevels()

• mlr3::Task$filter()

• mlr3::Task$format()

• mlr3::Task$formula()

• mlr3::Task$head()

• mlr3::Task$help()

• mlr3::Task$initialize()

• 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()

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Method clone()

The objects of this class are cloneable with this method.

Usage

TaskUnsupervised$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

TaskUnsupervised$new("penguins", task_type = "regr", backend = palmerpenguins::penguins)
#> <TaskUnsupervised:penguins> (344 x 8)
#> * Target: -
#> * Properties: -
#> * Features (8):
#>   - int (3): body_mass_g, flipper_length_mm, year
#>   - fct (3): island, sex, species
#>   - dbl (2): bill_depth_mm, bill_length_mm