opennlp.maxent.quasinewton

Class LogLikelihoodFunction

java.lang.Object

opennlp.maxent.quasinewton.LogLikelihoodFunction

All Implemented Interfaces:

DifferentiableFunction, Function

public class LogLikelihoodFunction
extends Object
implements DifferentiableFunction

Evaluate log likelihood and its gradient from DataIndexer.

Constructor Summary

Constructors

Constructor and Description
LogLikelihoodFunction(DataIndexer indexer)

Method Summary

Modifier and Type	Method and Description
int	getDomainDimension()
double[]	getInitialPoint()
String[]	getOutcomeLabels()
int[][]	getOutcomePatterns()
String[]	getPredLabels()
double[]	gradientAt(double[] x)
double	valueAt(double[] x)

Methods inherited from class java.lang.Object

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

Constructor Detail

LogLikelihoodFunction

public LogLikelihoodFunction(DataIndexer indexer)

Method Detail

valueAt

public double valueAt(double[] x)

Specified by:

valueAt in interface Function

gradientAt

public double[] gradientAt(double[] x)

Specified by:

gradientAt in interface DifferentiableFunction

getDomainDimension

public int getDomainDimension()

Specified by:

getDomainDimension in interface Function

getInitialPoint

public double[] getInitialPoint()

getPredLabels

public String[] getPredLabels()

getOutcomeLabels

public String[] getOutcomeLabels()

getOutcomePatterns

public int[][] getOutcomePatterns()