mlr_tasks_usarrests: US Arrests Cluster Task

In mlr-org/mlr3cluster: Cluster Extension for 'mlr3'

US Arrests Cluster Task

Description

A cluster task for the datasets::USArrests data set. Rownames are stored as variable "states" with column role "name".

Format

R6::R6Class inheriting from TaskClust.

Dictionary

This mlr3::Task can be instantiated via the dictionary mlr3::mlr_tasks or with the associated sugar function mlr3::tsk():

mlr_tasks$get("usarrests")
tsk("usarrests")

Meta Information

• Task type: “clust”

• Dimensions: 50x4

• Properties: -

• Has Missings: FALSE

• Target: -

• Features: “Assault”, “Murder”, “Rape”, “UrbanPop”

References

Berry, Brian J (1979). “Interactive Data Analysis: A Practical Primer.” Journal of the Royal Statistical Society: Series C (Applied Statistics), 28, 181.

See Also

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

• 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: mlr3::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: TaskClust, mlr_tasks_ruspini

mlr-org/mlr3cluster documentation built on Dec. 24, 2024, 3:19 a.m.