R: Exported for internal use.

makeClassifTaskDesc {mlr} | R Documentation

## 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.

[Package mlr version 2.16.0 Index]