jointentropy: Joint Entropy

In mlf: Machine Learning Foundations

Description

Estimated difference between two probability distributions.

Usage

jointentropy(x, y, bins)

Arguments

x, y	numeric or discrete data vectors
bins	specify number of bins

Examples

# Sample numeric vector
a <- rnorm(25, 80, 35)
b <- rnorm(25, 90, 35)
mlf::jointentropy(a, b, bins = 2)

# Sample discrete vector
a <- as.factor(c(1,1,2,2))
b <- as.factor(c(1,1,1,2))
mlf::jointentropy(a, b)

mlf documentation built on May 1, 2019, 10:34 p.m.