BagModel-class: Class "BagModel"

In paobranco/UBL: An Implementation of Re-Sampling Approaches to Utility-Based Learning for Both Classification and Regression Tasks

Description

BagModel is an S4 class that contains the information of a bagging ensemble model. Besides the base learning algorithms–baseModels – BagModel class contains information regarding the type of weak learners selected, the learned models and the aggregation method to apply in the test set for obtaining the final predictions.

Objects from BagModel Class

Objects can be created by calls to the constructor BagModel(...). The constructor requires a formula and a training set, the selected model type, the base models learned and the aggregation method to use for obtaining the final predictions.

Slots

form

formula

train

training set used to train the baseModels

learner

the weak learners type used

learner.pars

the parameters of the used learners

baseModels

a list of base learners

aggregation

the aggregation method used to obtain the final predictions. For now, only the average method is available.

rel

optional information regarding the relevance function definde for the problem. Should be provided as a matrix.

thr.rel

Optional number setting the threshold on the relevance values.

quiet

logical specifying if development should be shown or not. Defaults to TRUE

See Also

BaggingRegress

paobranco/UBL documentation built on May 6, 2021, 6:57 p.m.