class_log: A classification model with multiple classes

In wuyinfeistella/bis557: Linear model and the gradient descent

Description

A classification model generalizing logistic regression with multiple classes

Usage

class_log(X, y, class, niter = 100)

Arguments

X	The predictors of the classification model
niter	The number of iterations
Y	The response variable of the classification model

Value

The estimated probabilities and the misclassification rate

Examples

X <- matrix(rnorm(500), ncol=5)
y <- sample(c(1,2,3) , size=100, replace = T)
class_log(X,y, class=3)

wuyinfeistella/bis557 documentation built on Jan. 1, 2021, 12:52 p.m.