mae: Compute Mean Absolute Error (L1 norm)

In tbonza/supml: "Algorithms for Supervised Machine Learning"

Description

Compute Mean Absolute Error (L1 norm)

Usage

mae(e, delta = 0)

Arguments

e	vector of error terms Yi - Y^hat_i

Value

mean absolute error

Examples

e <- matrix(data=0, nrow=10,ncol=1)
mae(e)

e <- rnorm(10, 0, 1)
mae(e)

tbonza/supml documentation built on May 17, 2019, 3:14 a.m.