Package opennlp.tools.ml.maxent.quasinewton

Klasse QNModel

java.lang.Object

opennlp.tools.ml.model.AbstractModel

opennlp.tools.ml.maxent.quasinewton.QNModel

Alle implementierten Schnittstellen:

MaxentModel

public class QNModel
extends AbstractModel

A maximum entropy model which has been trained using the Quasi Newton (QN) algorithm.

Siehe auch:

• AbstractModel

Verschachtelte Klassen - Übersicht

Von Klasse geerbte verschachtelte Klassen/Schnittstellen opennlp.tools.ml.model.AbstractModel

AbstractModel.ModelType

Konstruktorübersicht

Konstruktoren

Konstruktor	Beschreibung
QNModel(Context[] params, String[] predLabels, String[] outcomeNames)	Initializes a QNModel with the specified parameters, outcome names, and predicate/feature labels.

Methodenübersicht

Modifizierer und Typ	Methode	Beschreibung
double[]	eval(String[] context)	Evaluates a context.
double[]	eval(String[] context, double[] probs)	Evaluates a context.
double[]	eval(String[] context, float[] values)	Evaluates a context with the specified context values.
int	getNumOutcomes()

Von Klasse geerbte Methoden opennlp.tools.ml.model.AbstractModel

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

Von Klasse geerbte Methoden java.lang.Object

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

Konstruktordetails

QNModel

public QNModel(Context[] params,
 String[] predLabels,
 String[] outcomeNames)

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

Parameter:

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.

Methodendetails

getNumOutcomes

public int getNumOutcomes()

Angegeben von:

getNumOutcomes in Schnittstelle MaxentModel

Setzt außer Kraft:

getNumOutcomes in Klasse AbstractModel

Gibt zurück:

Retrieves the number of outcomes for this model.

eval

public double[] eval(String[] context)

Evaluates a context.

Parameter:

context - An array of String names of the contextual predicates which are to be evaluated together.

Gibt zurück:

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)

Evaluates a context.

Parameter:

context - An array 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.

Gibt zurück:

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)

Evaluates a context with the specified context values.

Parameter:

context - An array of String names of the contextual predicates which are to be evaluated together.

values - The values associated with each context.

Gibt zurück:

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