Class QNModel

java.lang.Object

opennlp.tools.ml.model.AbstractModel

opennlp.tools.ml.maxent.quasinewton.QNModel

All Implemented Interfaces:

opennlp.tools.ml.model.MaxentModel

public class QNModel
extends opennlp.tools.ml.model.AbstractModel

A maximum entropy model which has been trained via the L-BFGS algorithm , which belongs to the group of Quasi Newton (QN) algorithms.

See Also:

• AbstractModel
• MaxentModel
• QNTrainer

Constructor Summary

Constructors

Constructor	Description
QNModel(opennlp.tools.ml.model.Context[] params, String[] predLabels, String[] outcomeNames)	Initializes a QNModel with the specified parameters, predicate/feature labels, and outcome names.

Method Summary

Modifier and Type	Method	Description
double[]	eval(String[] context)
double[]	eval(String[] context, double[] probs)
double[]	eval(String[] context, float[] values)
int	getNumOutcomes()

Methods inherited from class opennlp.tools.ml.model.AbstractModel

equals, getAllOutcomes, getBestOutcome, getDataStructures, getIndex, getModelType, getOutcome, hashCode

Methods inherited from class Object

getClass, notify, notifyAll, toString, wait, wait, wait

Constructor Details

QNModel

public QNModel(opennlp.tools.ml.model.Context[] params,
 String[] predLabels,
 String[] outcomeNames)

Initializes a QNModel with the specified parameters, predicate/feature labels, and outcome names.

Parameters:

params - The parameters of the model.

predLabels - The names of the predicates used in this model.

outcomeNames - The names of the outcomes this model predicts.

Method Details

getNumOutcomes

public int getNumOutcomes()

Specified by:

getNumOutcomes in interface opennlp.tools.ml.model.MaxentModel

Overrides:

getNumOutcomes in class opennlp.tools.ml.model.AbstractModel

eval

public double[] eval(String[] context)

eval

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

eval

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