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Last data update: 2014.03.03

R: Simple Gradient Boosting

fitBoosted

R Documentation

Simple 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)

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(DidacticBoost)
Loading required package: rpart
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/DidacticBoost/fitBoosted.Rd_%03d_medium.png", width=480, height=480)
> ### Name: fitBoosted
> ### Title: Simple Gradient Boosting
> ### Aliases: fitBoosted
> 
> ### ** Examples
> 
> k <- kyphosis
> k$Kyphosis <- factor(ifelse(k$Kyphosis == "present", 1L, -1L))
> fit <- fitBoosted(Kyphosis ~ Age + Number + Start, data = k, iterations = 10)
Solving iteration 1 
Solving iteration 2 
Solving iteration 3 
Solving iteration 4 
Solving iteration 5 
Solving iteration 6 
Solving iteration 7 
Solving iteration 8 
Solving iteration 9 
Solving iteration 10 
> 
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>