https://github.com/berndbischl/mlr
Tip revision: 3d7e0aa91936e82cf108aff3c46b19e3f953eefd authored by pat-s on 10 January 2020, 22:23:02 UTC
Bump version to 2.17.0.9000
Bump version to 2.17.0.9000
Tip revision: 3d7e0aa
ClusterTask.R
#' @title Create a cluster task.
#' @inheritParams Task
#' @seealso [Task] [ClassifTask] [CostSensTask] [MultilabelTask] [RegrTask] [SurvTask]
#' @rdname ClusterTask
#' @aliases ClusterTask
#' @export
makeClusterTask = function(id = deparse(substitute(data)), data, weights = NULL, blocking = NULL, coordinates = NULL, fixup.data = "warn", check.data = TRUE) {
assertString(id)
assertDataFrame(data)
assertChoice(fixup.data, choices = c("no", "quiet", "warn"))
assertFlag(check.data)
task = makeUnsupervisedTask("cluster", data = data, weights = weights,
blocking = blocking, fixup.data = fixup.data,
check.data = check.data, coordinates = coordinates)
task$task.desc = makeClusterTaskDesc(id, data, weights, blocking, coordinates)
addClasses(task, "ClusterTask")
}
#' @export
#' @rdname makeTaskDesc
makeClusterTaskDesc = function(id, data, weights, blocking, coordinates) {
target = character(0L)
td = makeTaskDescInternal("cluster", id, data, target, weights, blocking, coordinates)
return(addClasses(td, c("ClusterTaskDesc", "UnsupervisedTaskDesc")))
}
#' @export
print.ClusterTask = function(x, ...) {
print.UnsupervisedTask(x)
}