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Rule-based model that is an extension of Quinlan's M5 model tree. Each tree contains linear regression models at the terminal leaves. Calls Cubist::cubist() from Cubist.

Dictionary

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

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

Meta Information

  • Task type: “regr”

  • Predict Types: “response”

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

  • Required Packages: mlr3, mlr3extralearners, Cubist

Parameters

IdTypeDefaultLevelsRange
committeesinteger1\([1, 100]\)
unbiasedlogicalFALSETRUE, FALSE-
rulesinteger100\([1, \infty)\)
extrapolationnumeric100\([0, 100]\)
sampleinteger0\([0, \infty)\)
seedinteger1813\((-\infty, \infty)\)
labeluntypedoutcome-
neighborsinteger0\([0, 9]\)

References

Quinlan, R J, others (1992). “Learning with continuous classes.” In 5th Australian joint conference on artificial intelligence, volume 92, 343--348. World Scientific.

Quinlan, Ross J (1993). “Combining instance-based and model-based learning.” In Proceedings of the tenth international conference on machine learning, 236--243.

See also

Author

sumny

Super classes

mlr3::Learner -> mlr3::LearnerRegr -> LearnerRegrCubist

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

LearnerRegrCubist$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

learner = mlr3::lrn("regr.cubist")
print(learner)
#> <LearnerRegrCubist:regr.cubist>: Rule-based model
#> * Model: -
#> * Parameters: committees=1, neighbors=0
#> * Packages: mlr3, mlr3extralearners, Cubist
#> * Predict Type: response
#> * Feature types: integer, numeric, character, factor, ordered
#> * Properties: -

# available parameters:
learner$param_set$ids()
#> [1] "committees"    "unbiased"      "rules"         "extrapolation"
#> [5] "sample"        "seed"          "label"         "neighbors"