multi_class: multi_class() function

In Yannuo10/bis557: Homework 1

Description

one way to implement a classification model generalizing logistic regression to accommodate more than two classes

Usage

multi_class(X, y, itr, tolerance)

Arguments

X	a data matrix used for the function
y	a vector of response values
itr	number of iteration
tolerance	allowed tolerance for two residuals

Examples

data(iris); X <- cbind(1, as.matrix(iris[, -5]))
y <- ifelse(iris$Species==levels(iris$Species)[1], 1, ifelse(iris$Species==levels(iris$Species)[2], 2, 3))
fit_linear_model <- multi_class(X, y, itr = 50, tolerance = 1e-10)

Yannuo10/bis557 documentation built on Dec. 21, 2020, 10:02 p.m.