BEMBoost: BEMBoost

Description Usage Arguments Value Examples

View source: R/Functions.R

Description

BEMBoost

Usage

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BEMBoost(form, train, test, t_final = 100, BEM = 0.5, ...)

Arguments

form

The model formula.

train

A data.frame with the training data.

test

A data.frame with the test data.

t_final

The number of maximum boosting iterations. Default is 100.

BEM

Biggest error margin admissible. Defaults to 0.5.

...

Dots are passed to rpart

Value

Returns a vector with the predictions made by BEMBoost.

Examples

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data(Boston,package="MASS")

idx <- sample(1:nrow(Boston),nrow(Boston)*0.75)
form <- medv ~ .

train <- Boston[idx,]
test <- Boston[-idx,]

preds <- BEMBoost(form,train,test)

nunompmoniz/ReBoost documentation built on Sept. 15, 2021, 8:28 p.m.