A classification task for the popular datasets::iris data set.
R6::R6Class inheriting from TaskClassif.
This Task can be instantiated via the dictionary mlr_tasks or with the associated sugar function tsk():
mlr_tasks$get("iris")
tsk("iris")
Task type: “classif”
Dimensions: 150x5
Properties: “multiclass”
Has Missings: FALSE
Target: “Species”
Features: “Petal.Length”, “Petal.Width”, “Sepal.Length”, “Sepal.Width”
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: 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:
Task,
TaskClassif,
TaskRegr,
TaskSupervised,
TaskUnsupervised,
mlr_tasks,
mlr_tasks_boston_housing,
mlr_tasks_breast_cancer,
mlr_tasks_german_credit,
mlr_tasks_mtcars,
mlr_tasks_penguins,
mlr_tasks_pima,
mlr_tasks_sonar,
mlr_tasks_spam,
mlr_tasks_wine,
mlr_tasks_zoo