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mlr3

as_task_classif

Convert to a Classification Task

Description

Convert object to a TaskClassif. This is a S3 generic, specialized for at least the following objects:

  1. TaskClassif: ensure the identity

  2. data.frame() and DataBackend: provides an alternative to the constructor of TaskClassif.

  3. TaskRegr: Calls convert_task().

Usage

as_task_classif(x, ...)

## S3 method for class 'TaskClassif'
as_task_classif(x, clone = FALSE, ...)

## S3 method for class 'data.frame'
as_task_classif(
  x,
  target = NULL,
  id = deparse(substitute(x)),
  positive = NULL,
  ...
)

## S3 method for class 'DataBackend'
as_task_classif(
  x,
  target = NULL,
  id = deparse(substitute(x)),
  positive = NULL,
  ...
)

## S3 method for class 'TaskRegr'
as_task_classif(
  x,
  target = NULL,
  drop_original_target = FALSE,
  drop_levels = TRUE,
  ...
)

Arguments

x

(any)
Object to convert.
...

(any)
Additional arguments.
clone

(logical(1))
If TRUE, ensures that the returned object is not the same as the input x.
target

(character(1))
Name of the target column.
id

(character(1))
Id for the new task. Defaults to the (deparsed and substituted) name of x.
positive

(character(1))
Level of the positive class. See TaskClassif.
drop_original_target

(logical(1))
If FALSE (default), the original target is added as a feature. Otherwise the original target is dropped.
drop_levels

(logical(1))
If TRUE (default), unused levels of the new target variable are dropped.

Value

Examples

as_task_classif(palmerpenguins::penguins, target = "species")
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

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