Calls RWeka::PART from package RWeka.

Dictionary

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")

Traits

  • Packages: RWeka

  • Predict Types: response, prob

  • Feature Types: numeric, factor, ordered

  • Properties: missings, multiclass, twoclass

Custom mlr3 defaults

  • 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

References

Frank E, Witten I (1998). Generating Accurate Rule Sets Without Global Optimization

Author

henrifnk

Super classes

mlr3::Learner -> mlr3::LearnerClassif -> LearnerClassifPART

Methods

Public methods

Inherited methods

Method new()

Creates a new instance of this R6 class.

Usage

LearnerClassifPART$new()


Method clone()

The objects of this class are cloneable with this method.

Usage

LearnerClassifPART$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.