mlr (version 2.13)

makeClassifTaskDesc: Exported for internal use.

Description

Exported for internal use.

Usage

makeClassifTaskDesc(id, data, target, weights, blocking, positive,
  coordinates)
makeClusterTaskDesc(id, data, weights, blocking, coordinates)
makeCostSensTaskDesc(id, data, target, blocking, costs, coordinates)
makeMultilabelTaskDesc(id, data, target, weights, blocking, coordinates)
makeRegrTaskDesc(id, data, target, weights, blocking, coordinates)
makeSurvTaskDesc(id, data, target, weights, blocking, coordinates)

Arguments

id

(character(1)) task id

data

(data.frame) data

target

(character) target columns

weights

(numeric) weights

blocking

([numeric` task data blocking

coordinates

(data.frame) Coordinates of a spatial data set that will be used for spatial partitioning of the data in a spatial cross-validation resampling setting. Coordinates have to be numeric values. Provided (data.frame) needs to have the same number of rows as data and consist of at least two dimensions.