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Naive Bayes classification. Calls e1071::naiveBayes() from package e1071.

Dictionary

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

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

Meta Information

, * Task type: “classif”, * Predict Types: “response”, “prob”, * Feature Types: “logical”, “integer”, “numeric”, “factor”, * Required Packages: mlr3, mlr3learners, e1071

Parameters

, |Id |Type |Default |Range |, |:---------|:-------|:-------|:------------------------------------|, |eps |numeric |0 |\((-\infty, \infty)\) |, |laplace |numeric |0 |\([0, \infty)\) |, |threshold |numeric |0.001 |\((-\infty, \infty)\) |

See also

Other Learner: mlr_learners_classif.cv_glmnet, mlr_learners_classif.glmnet, mlr_learners_classif.kknn, mlr_learners_classif.lda, mlr_learners_classif.log_reg, mlr_learners_classif.multinom, mlr_learners_classif.nnet, mlr_learners_classif.qda, mlr_learners_classif.ranger, mlr_learners_classif.svm, mlr_learners_classif.xgboost, mlr_learners_regr.cv_glmnet, mlr_learners_regr.glmnet, mlr_learners_regr.kknn, mlr_learners_regr.km, mlr_learners_regr.lm, mlr_learners_regr.ranger, mlr_learners_regr.svm, mlr_learners_regr.xgboost

Super classes

mlr3::Learner -> mlr3::LearnerClassif -> LearnerClassifNaiveBayes

Methods

Inherited methods


Method new()

Creates a new instance of this R6 class.


Method clone()

The objects of this class are cloneable with this method.

Usage

LearnerClassifNaiveBayes$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

if (requireNamespace("e1071", quietly = TRUE)) {
  learner = mlr3::lrn("classif.naive_bayes")
  print(learner)

  # available parameters:
learner$param_set$ids()
}
#> <LearnerClassifNaiveBayes:classif.naive_bayes>
#> * Model: -
#> * Parameters: list()
#> * Packages: mlr3, mlr3learners, e1071
#> * Predict Type: response
#> * Feature types: logical, integer, numeric, factor
#> * Properties: multiclass, twoclass
#> [1] "eps"       "laplace"   "threshold"