mlr_learners_clust.cobweb | R Documentation |
A LearnerClust for Cobweb clustering implemented in RWeka::Cobweb()
.
The predict method uses RWeka::predict.Weka_clusterer()
to compute the
cluster memberships for new data.
This Learner can be instantiated via the dictionary mlr_learners or with the associated sugar function lrn()
:
mlr_learners$get("clust.cobweb") lrn("clust.cobweb")
Task type: “clust”
Predict Types: “partition”
Feature Types: “logical”, “integer”, “numeric”
Required Packages: mlr3, mlr3cluster, RWeka
Id | Type | Default | Range |
A | numeric | 1 | [0, \infty) |
C | numeric | 0.002 | [0, \infty) |
S | integer | 42 | [1, \infty) |
mlr3::Learner
-> mlr3cluster::LearnerClust
-> LearnerClustCobweb
new()
Creates a new instance of this R6 class.
LearnerClustCobweb$new()
clone()
The objects of this class are cloneable with this method.
LearnerClustCobweb$clone(deep = FALSE)
deep
Whether to make a deep clone.
if (requireNamespace("RWeka")) {
learner = mlr3::lrn("clust.cobweb")
print(learner)
# available parameters:
learner$param_set$ids()
}
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