mlr3: mlr_tasks – R documentation

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mlr_tasks

Dictionary of Tasks

Description

A simple mlr3misc::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, e.g. mlr3data, mlr3proba or mlr3cluster. mlr3oml allows to interact with OpenML.

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

Format

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

Methods

See mlr3misc::Dictionary.

S3 methods

as.data.table(dict)
mlr3misc::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.

Examples

as.data.table(mlr_tasks)
task = mlr_tasks$get("penguins") # same as tsk("penguins")
head(task$data())

# Add a new task, based on a subset of penguins:
data = palmerpenguins::penguins
data$species = factor(ifelse(data$species == "Adelie", "1", "0"))
task = TaskClassif$new("penguins.binary", data, target = "species", positive = "1")

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

# list available tasks
mlr_tasks$keys()

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

# remove task again
mlr_tasks$remove("penguins.binary")

mlr3

Machine Learning in R - Next Generation

v0.11.0

LGPL-3

Authors

Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>), Jakob Richter [aut] (<https://orcid.org/0000-0003-4481-5554>), Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>), Giuseppe Casalicchio [ctb] (<https://orcid.org/0000-0001-5324-5966>), Stefan Coors [ctb] (<https://orcid.org/0000-0002-7465-2146>), Quay Au [ctb] (<https://orcid.org/0000-0002-5252-8902>), Martin Binder [aut], Marc Becker [ctb] (<https://orcid.org/0000-0002-8115-0400>)

Initial release