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Calls RWeka::LMT 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.LMT")
lrn("classif.LMT")

Meta Information

  • Task type: “classif”

  • Predict Types: “response”, “prob”

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

  • Required Packages: mlr3extralearners, RWeka

Parameters

IdTypeDefaultLevelsRange
subsetlist-\((-\infty, \infty)\)
na.actionlist-\((-\infty, \infty)\)
BlogicalFALSETRUE, FALSE\((-\infty, \infty)\)
RlogicalFALSETRUE, FALSE\((-\infty, \infty)\)
ClogicalFALSETRUE, FALSE\((-\infty, \infty)\)
PlogicalFALSETRUE, FALSE\((-\infty, \infty)\)
Iinteger-\([1, \infty)\)
Minteger15\([1, \infty)\)
Wnumeric0\([0, 1]\)
AlogicalFALSETRUE, FALSE\((-\infty, \infty)\)
doNotMakeSplitPointActualValuelogicalFALSETRUE, FALSE\((-\infty, \infty)\)
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

Landwehr N, Hall M, Frank E (2005). Logistic Model Trees https://link.springer.com/content/pdf/10.1007/s10994-005-0466-3.pdf

Author

henrifnk

Super classes

mlr3::Learner -> mlr3::LearnerClassif -> LearnerClassifLMT

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

LearnerClassifLMT$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.