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Calls RWeka::M5Rules from package RWeka.

Dictionary

This Learner can be instantiated via the dictionary mlr_learners or with the associated sugar function lrn():

mlr_learners$get("regr.M5Rules")
lrn("regr.M5Rules")

Meta Information

  • Task type: “regr”

  • Predict Types: “response”

  • Feature Types: “numeric”, “factor”, “ordered”

  • Required Packages: mlr3extralearners, RWeka

Parameters

IdTypeDefaultLevelsRange
subsetlist-\((-\infty, \infty)\)
na.actionlist-\((-\infty, \infty)\)
NlogicalFALSETRUE, FALSE\((-\infty, \infty)\)
UlogicalFALSETRUE, FALSE\((-\infty, \infty)\)
RlogicalFALSETRUE, FALSE\((-\infty, \infty)\)
Minteger4\((-\infty, \infty)\)
output_debug_infologicalFALSETRUE, FALSE\((-\infty, \infty)\)
do_not_check_capabilitieslogicalFALSETRUE, FALSE\((-\infty, \infty)\)
num_decimal_placesinteger2\([1, \infty)\)
batch_sizeinteger100\([1, \infty)\)
optionslistNULL\((-\infty, \infty)\)

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

Hall M, Et al. (1999) Generating rule sets from model trees In: Proceedings of the Twelfth Australian Joint Conference on Artificial Intelligence, pages 1- 12. http://citeseer.ist.psu.edu/holmes99generating.html

Author

henrifnk

Super classes

mlr3::Learner -> mlr3::LearnerRegr -> LearnerRegrM5Rules

Methods

Inherited methods


Method new()

Creates a new instance of this R6 class.

Usage


Method clone()

The objects of this class are cloneable with this method.

Usage

LearnerRegrM5Rules$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.