mnj.pred: Predict function

In mnj: Machine Learning and Judgement

Description

A custom predict function for FlexBoost

Usage

mnj.pred(object, X, type = c("response", "prob"), n_tree = NULL)

Arguments

object	Tree information
X	Variable of train data
type	Class or probability
n_tree	Number of trees

Details

This is a predict function of FlexBoost. FlexBoost consists of two predict functions. One is built-in function in R and the other is this custom predict function for FlexBoost. This custom predict function is needed for the calculation of the final strong classifier. It returns the expected input data's labels.

Examples

data <- read.csv(url("http://bit.ly/flex_iris"), TRUE)
model <- flex(data[,1:2], data[,6], 10, 0.1, 3, 2)
mnj.pred(model, data[,1:2], "response", NULL)

mnj documentation built on Oct. 11, 2019, 5:05 p.m.