mlr3 (version 0.1.2)

mlr_tasks: Dictionary of Tasks

Description

A simple Dictionary storing objects of class Task. Each task has an associated help page, see mlr_tasks_[id].

This dictionary can get populated with additional tasks by add-on packages.

For a more convenient way to retrieve and construct tasks, see tsk().

Format

R6::R6Class object inheriting from mlr3misc::Dictionary.

Methods

See Dictionary.

S3 methods

• as.data.table(dict) Dictionary -> data.table::data.table() Returns a data.table::data.table() with columns "key", "task_type", "measures", "nrow", "ncol" and the number of features of type "lgl", "int", "dbl", "chr", "fct" and "ord" as columns.

See Also

Example tasks: iris (multi-class classification), spam (binary classification), boston_housing (regression)

Sugar function: tsk()

Other Dictionary: mlr_learners, mlr_measures, mlr_resamplings, mlr_task_generators

Other Task: TaskClassif, TaskRegr, TaskSupervised, Task

Examples

# NOT RUN {
as.data.table(mlr_tasks)
task = mlr_tasks$get("iris") # same as tsk("iris")
head(task$data())

# Add a new task, based on a subset of iris:
data = iris
data$Species = factor(ifelse(data$Species == "setosa", "1", "0"))
task = TaskClassif$new("iris.binary", data, target = "Species", positive = "1")

# add to dictionary
mlr_tasks$add("iris.binary", task)

# list available tasks
mlr_tasks$keys()

# retrieve from dictionary
mlr_tasks$get("iris.binary")

# remove task again
mlr_tasks$remove("iris.binary")
# }