makeTaskDesc: Exported for internal use.

In berndbischl/mlr: Machine Learning in R

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.

berndbischl/mlr documentation built on Aug. 15, 2024, 4:20 p.m.