mlr (version 2.3)

makeClassifTask: Create a classification, regression, survival, cluster, or cost-sensitive classification task.

Description

The task encapsulates the data and specifies - through its subclasses - the type of the task. It also contains a description object detailing further aspects of the data.

Useful operators are: getTaskFormula, getTaskFormulaAsString, getTaskFeatureNames, getTaskData, getTaskTargets, subsetTask.

Object members: [object Object],[object Object],[object Object],[object Object]

Usage

makeClassifTask(id, data, target, weights = NULL, blocking = NULL,
  positive = NA_character_, fixup.data = "warn", check.data = TRUE)
makeClusterTask(id, data, weights = NULL, blocking = NULL,
  fixup.data = "warn", check.data = TRUE)
makeCostSensTask(id, data, costs, blocking = NULL, fixup.data = "warn",
  check.data = TRUE)
makeRegrTask(id, data, target, weights = NULL, blocking = NULL,
  fixup.data = "warn", check.data = TRUE)
makeSurvTask(id, data, target, censoring = "rcens", weights = NULL,
  blocking = NULL, fixup.data = "warn", check.data = TRUE)

Value

[Task].

See Also

Other costsens: CostSensClassifModel, CostSensClassifWrapper, makeCostSensClassifWrapper; CostSensRegrModel, CostSensRegrWrapper, makeCostSensRegrWrapper; CostSensWeightedPairsModel, CostSensWeightedPairsWrapper, makeCostSensWeightedPairsWrapper

Examples

library(mlbench)
data(BostonHousing)
data(Ionosphere)

makeClassifTask(data = iris, target = "Species")
makeRegrTask(data = BostonHousing, target = "medv")
# an example of a classification task with more than those standard arguments:
blocking = factor(c(rep(1, 51), rep(2, 300)))
makeClassifTask(id = "myIonosphere", data = Ionosphere, target = "Class",
  positive = "good", blocking = blocking)
makeClusterTask(data = iris[, -5L])