org.openimaj.ml.linear.learner.loss

Class MatSquareLossFunction

java.lang.Object

org.openimaj.ml.linear.learner.loss.LossFunction

org.openimaj.ml.linear.learner.loss.MatSquareLossFunction

public class MatSquareLossFunction
extends LossFunction

Field Summary

Fields inherited from class org.openimaj.ml.linear.learner.loss.LossFunction

bias, X, Y

Constructor Summary

Constructors

Constructor and Description
MatSquareLossFunction()

Method Summary

Modifier and Type	Method and Description
double	eval(gov.sandia.cognition.math.matrix.Matrix W)
gov.sandia.cognition.math.matrix.Matrix	gradient(gov.sandia.cognition.math.matrix.Matrix W)
boolean	isMatrixLoss()
boolean	test_backtrack(gov.sandia.cognition.math.matrix.Matrix W, gov.sandia.cognition.math.matrix.Matrix grad, gov.sandia.cognition.math.matrix.Matrix prox, double eta)

Methods inherited from class org.openimaj.ml.linear.learner.loss.LossFunction

setBias, setX, setY

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

MatSquareLossFunction

public MatSquareLossFunction()

Method Detail

gradient

public gov.sandia.cognition.math.matrix.Matrix gradient(gov.sandia.cognition.math.matrix.Matrix W)

Specified by:

gradient in class LossFunction

eval

public double eval(gov.sandia.cognition.math.matrix.Matrix W)

Specified by:

eval in class LossFunction

test_backtrack

public boolean test_backtrack(gov.sandia.cognition.math.matrix.Matrix W,
                              gov.sandia.cognition.math.matrix.Matrix grad,
                              gov.sandia.cognition.math.matrix.Matrix prox,
                              double eta)

Overrides:

test_backtrack in class LossFunction

isMatrixLoss

public boolean isMatrixLoss()

Specified by:

isMatrixLoss in class LossFunction