mlr_learners_classif.AdaBoostM1: Classification AdaBoostM1 Learner

mlr_learners_classif.AdaBoostM1R Documentation

Classification AdaBoostM1 Learner

Description

Adaptive boosting algorithm for classification. Calls RWeka::AdaBoostM1() from RWeka.

Dictionary

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

mlr_learners$get("classif.AdaBoostM1")
lrn("classif.AdaBoostM1")

Meta Information

  • Task type: “classif”

  • Predict Types: “response”, “prob”

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

  • Required Packages: mlr3, mlr3extralearners, RWeka

Parameters

Id Type Default Levels Range
subset untyped - -
na.action untyped - -
P integer 100 [90, 100]
Q logical FALSE TRUE, FALSE -
S integer 1 [1, \infty)
I integer 10 [1, \infty)
W untyped DecisionStump -
output_debug_info logical FALSE TRUE, FALSE -
do_not_check_capabilities logical FALSE TRUE, FALSE -
num_decimal_places integer 2 [1, \infty)
batch_size integer 100 [1, \infty)
options untyped -

Parameter changes

  • 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

Super classes

mlr3::Learner -> mlr3::LearnerClassif -> LearnerClassifAdaBoostM1

Methods

Public methods

Inherited methods

Method new()

Creates a new instance of this R6 class.

Usage
LearnerClassifAdaBoostM1$new()

Method clone()

The objects of this class are cloneable with this method.

Usage
LearnerClassifAdaBoostM1$clone(deep = FALSE)
Arguments
deep

Whether to make a deep clone.

Author(s)

henrifnk

References

Freund, Yoav, Schapire, E R, others (1996). “Experiments with a new boosting algorithm.” In icml, volume 96, 148–156. Citeseer.

See Also

Examples

learner = mlr3::lrn("classif.AdaBoostM1")
print(learner)

# available parameters:
learner$param_set$ids()

mlr-org/mlr3extralearners documentation built on March 13, 2024, 10:12 a.m.