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Calls dbarts::bart from package dbarts.

Dictionary

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

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

Meta Information

  • Task type: “regr”

  • Predict Types: “response”

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

  • Required Packages: mlr3extralearners, dbarts

Parameters

IdTypeDefaultLevelsRange
ntreeinteger200\([1, \infty)\)
sigestlistNULL\((-\infty, \infty)\)
sigdfinteger3\([1, \infty)\)
sigquantnumeric0.9\([0, 1]\)
knumeric2\([0, \infty)\)
powernumeric2\([0, \infty)\)
basenumeric0.95\([0, 1]\)
ndpostinteger1000\([1, \infty)\)
nskipinteger100\([0, \infty)\)
printeveryinteger100\([0, \infty)\)
keepeveryinteger1\([1, \infty)\)
keeptrainfitslogicalTRUETRUE, FALSE\((-\infty, \infty)\)
usequantslogicalFALSETRUE, FALSE\((-\infty, \infty)\)
numcutinteger100\([1, \infty)\)
printcutoffsinteger0\((-\infty, \infty)\)
verboselogicalTRUETRUE, FALSE\((-\infty, \infty)\)
keeptreeslogicalFALSETRUE, FALSE\((-\infty, \infty)\)
keepcalllogicalTRUETRUE, FALSE\((-\infty, \infty)\)
sampleronlylogicalFALSETRUE, FALSE\((-\infty, \infty)\)
offset.testlogicalFALSETRUE, FALSE\((-\infty, \infty)\)

Custom mlr3 defaults

  • Parameter: keeptrees

  • Original: FALSE

  • New: TRUE

  • Reason: Required for prediction

See also

Author

ck37

Super classes

mlr3::Learner -> mlr3::LearnerRegr -> LearnerRegrBart

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

LearnerRegrBart$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

if (requireNamespace("dbarts", quietly = TRUE)) {
  learner = mlr3::lrn("regr.bart")
  print(learner)

  # available parameters:
  learner$param_set$ids()
}
#> <LearnerRegrBart:regr.bart>
#> * Model: -
#> * Parameters: keeptrees=TRUE
#> * Packages: mlr3, mlr3extralearners, dbarts
#> * Predict Type: response
#> * Feature types: integer, numeric, factor, ordered
#> * Properties: weights
#>  [1] "ntree"         "sigest"        "sigdf"         "sigquant"     
#>  [5] "k"             "power"         "base"          "ndpost"       
#>  [9] "nskip"         "printevery"    "keepevery"     "keeptrainfits"
#> [13] "usequants"     "numcut"        "printcutoffs"  "verbose"      
#> [17] "keeptrees"     "keepcall"      "sampleronly"   "offset.test"