fitBoosted: Simple Gradient Boosting

In DidacticBoost: A Simple Implementation and Demonstration of Gradient Boosting

Description

Fit a simple, educational implementation of tree-based gradient boosting model.

Usage

fitBoosted(formula, data, iterations = 100, verbose = TRUE)

Arguments

formula	an object of class "formula" with a response but no interaction terms. The response variable should be a binomial factor that has values of 1 for a positive response or -1 for a negative or lack of response.
data	the dataframe containing the independent variables and the response
iterations	The number of training rounds for boosting.
verbose	should the current training round be printed to the console?

Value

An S3 object of class boosted. This includes

Examples

k <- kyphosis
k$Kyphosis <- factor(ifelse(k$Kyphosis == "present", 1L, -1L))
fit <- fitBoosted(Kyphosis ~ Age + Number + Start, data = k, iterations = 10)

DidacticBoost documentation built on May 2, 2019, 9:20 a.m.