opennlp.maxent.quasinewton

Class QNModel

java.lang.Object

opennlp.model.AbstractModel

opennlp.maxent.quasinewton.QNModel

All Implemented Interfaces:

MaxentModel

public class QNModel
extends AbstractModel

Nested Class Summary

Nested classes/interfaces inherited from class opennlp.model.AbstractModel

AbstractModel.ModelType

Field Summary

Fields inherited from class opennlp.model.AbstractModel

evalParams, modelType, outcomeNames, pmap, prior

Constructor Summary

Constructors

Constructor and Description
QNModel(LogLikelihoodFunction monitor, double[] parameters)
QNModel(String[] predNames, String[] outcomeNames, Context[] params, double[] parameters)

Method Summary

Modifier and Type	Method and Description
boolean	equals(Object obj)
double[]	eval(String[] context) Evaluates a context.
double[]	eval(String[] context, double[] probs) Evaluates a context.
double[]	eval(String[] context, float[] values) Evaluates a contexts with the specified context values.
int	getNumOutcomes() Returns the number of outcomes for this model.
double[]	getParameters()

Methods inherited from class opennlp.model.AbstractModel

getAllOutcomes, getBestOutcome, getDataStructures, getIndex, getModelType, getOutcome

Methods inherited from class java.lang.Object

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

Constructor Detail

QNModel

public QNModel(LogLikelihoodFunction monitor,
               double[] parameters)

QNModel

public QNModel(String[] predNames,
               String[] outcomeNames,
               Context[] params,
               double[] parameters)

Method Detail

eval

public double[] eval(String[] context)

Description copied from interface: MaxentModel

Evaluates a context.

Parameters:

context - A list of String names of the contextual predicates which are to be evaluated together.

Returns:

an array of the probabilities for each of the different outcomes, all of which sum to 1.

eval

public double[] eval(String[] context,
                     double[] probs)

Description copied from interface: MaxentModel

Evaluates a context.

Parameters:

context - A list of String names of the contextual predicates which are to be evaluated together.

probs - An array which is populated with the probabilities for each of the different outcomes, all of which sum to 1.

Returns:

an array of the probabilities for each of the different outcomes, all of which sum to 1.

eval

public double[] eval(String[] context,
                     float[] values)

Description copied from interface: MaxentModel

Evaluates a contexts with the specified context values.

Parameters:

context - A list of String names of the contextual predicates which are to be evaluated together.

values - The values associated with each context.

Returns:

an array of the probabilities for each of the different outcomes, all of which sum to 1.

getNumOutcomes

public int getNumOutcomes()

Description copied from interface: MaxentModel

Returns the number of outcomes for this model.

Specified by:

getNumOutcomes in interface MaxentModel

Overrides:

getNumOutcomes in class AbstractModel

Returns:

The number of outcomes.

getParameters

public double[] getParameters()

equals

public boolean equals(Object obj)

Overrides:

equals in class Object