mlr_learners_clust.featureless | R Documentation |
A simple LearnerClust which randomly (but evenly) assigns observations to
num_clusters
partitions (default: 1 partition).
This Learner can be instantiated via the dictionary mlr_learners or with the associated sugar function lrn()
:
mlr_learners$get("clust.featureless") lrn("clust.featureless")
Task type: “clust”
Predict Types: “partition”, “prob”
Feature Types: “logical”, “integer”, “numeric”
Required Packages: mlr3, mlr3cluster
Id | Type | Default | Range |
num_clusters | integer | 1 | [1, \infty) |
mlr3::Learner
-> mlr3cluster::LearnerClust
-> LearnerClustFeatureless
new()
Creates a new instance of this R6 class.
LearnerClustFeatureless$new()
clone()
The objects of this class are cloneable with this method.
LearnerClustFeatureless$clone(deep = FALSE)
deep
Whether to make a deep clone.
if (requireNamespace("mlr3")) {
learner = mlr3::lrn("clust.featureless")
print(learner)
# available parameters:
learner$param_set$ids()
}
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