Package opennlp.tools.ml.naivebayes

Klasse NaiveBayesModel

java.lang.Object

opennlp.tools.ml.model.AbstractModel

opennlp.tools.ml.naivebayes.NaiveBayesModel

Alle implementierten Schnittstellen:

MaxentModel

public class NaiveBayesModel
extends AbstractModel

A MaxentModel implementation of the multinomial Naive Bayes classifier model.

Siehe auch:

• AbstractModel
• MaxentModel

Verschachtelte Klassen - Übersicht

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

AbstractModel.ModelType

Konstruktorübersicht

Konstruktoren

Konstruktor	Beschreibung
NaiveBayesModel(Context[] params, String[] predLabels, String[] outcomeNames)	Initializes a NaiveBayesModel.

Methodenübersicht

Modifizierer und Typ	Methode	Beschreibung
static double[]	eval(int[] context, double[] prior, EvalParameters model)	Evaluates a NaiveBayesModel.
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.
double[]	eval(String[] context, float[] values, double[] outsums)

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

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

Von Klasse geerbte Methoden java.lang.Object

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

Konstruktordetails

NaiveBayesModel

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

Initializes a NaiveBayesModel.

Parameter:

params - The parameters to set.

predLabels - The predicted labels.

outcomeNames - The names of the outcomes.

Methodendetails

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,
 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.

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,
 double[] outsums)

eval

public static double[] eval(int[] context,
 double[] prior,
 EvalParameters model)

Evaluates a NaiveBayesModel.

Parameter:

context - The context parameters as int[].

prior - The data prior to the evaluation as double[].

model - The EvalParameters used for evaluation.

Gibt zurück:

The resulting evaluation data as double[].