Multinomial log-linear models via neural networks. Calls nnet::multinom() from package nnet.

Dictionary

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

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

See also

Super classes

mlr3::Learner -> mlr3::LearnerClassif -> LearnerClassifMultinom

Methods

Public methods

Inherited methods

Method new()

Creates a new instance of this R6 class.

Usage

LearnerClassifMultinom$new()


Method clone()

The objects of this class are cloneable with this method.

Usage

LearnerClassifMultinom$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

if (requireNamespace("nnet")) { learner = mlr3::lrn("classif.multinom") print(learner) # available parameters: learner$param_set$ids() }
#> Loading required namespace: nnet
#> <LearnerClassifMultinom:classif.multinom> #> * Model: - #> * Parameters: list() #> * Packages: nnet #> * Predict Type: response #> * Feature types: logical, integer, numeric, factor #> * Properties: multiclass, twoclass, weights
#> [1] "Hess" "summ" "censored" "model" "rang" "decay" #> [7] "maxit" "trace" "abstol" "reltol"