mlr_learners_classif.PART.Rd
Calls RWeka::PART from package RWeka.
This Learner can be instantiated via the
dictionary mlr_learners or with the associated
sugar function lrn()
:
mlr_learners$get("classif.PART") lrn("classif.PART")
Packages: RWeka
Predict Types: response, prob
Feature Types: numeric, factor, ordered
Properties: missings, multiclass, twoclass
output_debug_info
:
original id: output-debug-info
do_not_check_capabilities
:
original id: do-not-check-capabilities
num_decimal_places
:
original id: num-decimal-places
batch_size
:
original id: batch-size
Reason for change: This learner contains changed ids of the following control arguments since their ids contain irregular pattern
Frank E, Witten I (1998). Generating Accurate Rule Sets Without Global Optimization
henrifnk
mlr3::Learner
-> mlr3::LearnerClassif
-> LearnerClassifPART
new()
Creates a new instance of this R6 class.
LearnerClassifPART$new()
clone()
The objects of this class are cloneable with this method.
LearnerClassifPART$clone(deep = FALSE)
deep
Whether to make a deep clone.