loss.squared.error: Squared Error Loss Function

In DPpack: Differentially Private Statistical Analysis and Machine Learning

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)

Arguments

y.hat	Vector or matrix of estimated labels.
y	Vector or matrix of true labels.

Value

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

Examples

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

DPpack documentation built on Oct. 20, 2024, 9:07 a.m.