DPpack (version 0.2.0)

loss.squared.error: Squared Error Loss Function

Description

This function implements squared error loss used for linear regression in the form required by EmpiricalRiskMinimizationDP.KST.

Usage

loss.squared.error(y.hat, y)

Value

Vector or matrix of the squared error loss for each element of y.hat and y.

Arguments

y.hat

Vector or matrix of estimated labels.

y

Vector or matrix of true labels.

Examples

  y.hat <- c(0.1, 0.88, 0.02)
  y <- c(0, 1, 0)
  loss.squared.error(y.hat,y)