This measure specializes mlr3::Measure for cluster analysis:
task_typeis set to"clust".Possible values for
predict_typeare"partition"and"prob".
Predefined measures can be found in the mlr3misc::Dictionary mlr3::mlr_measures.
See also
Example cluster measures: clust.dunn
Super class
mlr3::Measure -> MeasureClust
Methods
Method new()
Creates a new instance of this R6 class.
Usage
MeasureClust$new(
id,
range,
minimize = NA,
aggregator = NULL,
properties = character(),
predict_type = "partition",
task_properties = character(),
packages = character(),
label = NA_character_,
man = NA_character_
)Arguments
id(
character(1))
Identifier for the new instance.range(
numeric(2))
Feasible range for this measure asc(lower_bound, upper_bound). Both bounds may be infinite.minimize(
logical(1))
Set toTRUEif good predictions correspond to small values, and toFALSEif good predictions correspond to large values. If set toNA(default), tuning this measure is not possible.aggregator(
function(x))
Function to aggregate individual performance scoresxwherexis a numeric vector. IfNULL, defaults tomean().properties(
character())
Properties of the measure. Must be a subset of mlr_reflections$measure_properties. Supported bymlr3:"requires_task"(requires the complete mlr3::Task),"requires_learner"(requires the trained mlr3::Learner),"requires_train_set"(requires the training indices from the mlr3::Resampling), and"na_score"(the measure is expected to occasionally returnNAorNaN).
predict_type(
character(1))
Required predict type of the mlr3::Learner. Possible values are stored in mlr_reflections$learner_predict_types.task_properties(
character())
Required task properties, see mlr3::Task.packages(
character())
Set of required packages. A warning is signaled by the constructor if at least one of the packages is not installed, but loaded (not attached) later on-demand viarequireNamespace().label(
character(1))
Label for the new instance.man(
character(1))
String in the format[pkg]::[topic]pointing to a manual page for this object. The referenced help package can be opened via method$help().